Introduction

To achieve its purpose, correlating user information with network performance data, WiFiMon needs RADIUS and/or DHCP logs to be streamed in an Elasticsearch structure. For that purpose, an ELK cluster was built on VMs. A total of five VMs were used, with three of them defined as Elasticsearch master-eligible and data nodes, one VM configured as coordinating node where Kibana was installed too, and another one dedicated to Logstash.

The sources generating log files are a freeRadius and dhcp server where Filebeat was installed as an agent. Thus the data flow starts with Filebeat collecting log events and forwarding them to Logstash. At Logstash, the logs are filtered/enriched according to the needs of WiFiMon, before sending them toward Elasticsearch nodes in the cluster.

VMs Specifications

This setup consists of five VMs each of them having the specifications shown in the following table:

Cluster Setup

Setting up an ELK cluster means installing the software packages implementing its components. Some configuration must also be done as a preparation, before starting with the configuration of the cluster itself.

Anchor
DNS and Roles DNS and Roles

DNS and Roles

The following table shows the DNS configuration and the role each machine plays in the cluster.

Cluster node is considered to be the one that joins the cluster. In this setup, cluster nodes are the master-eligible/data nodes and the coordinating node. The pipeline node is not, it doesn’t join the cluster.

Package Installation

A cluster is a collection of nodes.

• Being a cluster of Elasticsearch nodes, Java (at least version 8) is required, so the java-1.8.0-openjdk package was installed on each node.
• Having the Java dependency satisfied, the next step was to install the elasticsearch package on each cluster node, that is not in the pipeline node. For more information see Install Elasticsearch with RPM.
• On coordinating node, along with elasticsearch, the kibana package was installed, too. For more information see Install Kibana with RPM.
• On pipeline node was installed the logstash package. For more information see Installing Logstash.
• The filebeat package was installed in a dhcp server and in the freeRadius server which implements the Eduroam Service Provider. For more information see Repositories for APT and YUM.

All the packages implementing the cluster's components (elasticsearch, logstash, kibana, filebeat) must be of the same version. This setup is about version 7.8.0.

System Configuration

• Each node’s hostname is set to its FQDN, according to the values shown in the VMs DNS list. This value is referenced in the configuration file of Elasticsearch.
• It is recommended to disable system swapping, which can result in parts of JVM Heap or even its executable pages being swapped out to disk.
• Various communications take place in a cluster, with their connections requiring specific ports being opened in the firewall. The following list represents our situation.
  • wifimon-node{1,2,3}.rash.al: 9200/tcp, 9300/tcp
  • wifimon-kibana.rash.al: 9200/tcp, 9300/tcp, 5601/tcp
  • wifimon-logstash.rash.al: 5044/tcp

Port 9200/tcp is used to query the cluster using the Elasticsearch REST API. Port 9300/tcp is used for internal communication between cluster nodes. Port 5044/tcp is where Logstash listens for beats of log events sent from Filebeat. Port 5601/tcp is used to access Kibana platform from the browser.

SSL/TLS Certificates

The cluster communication is secured by configuring SSL/TLS. The elasticsearch-certutil was used to generate a CA certificate utilized for signing while generating the cluster components certificates. This utility comes with the elasticsearch installation, and in this case was used the one installed in the wifimon-kibana.rash.al node.

Create the instances.yml file with the following contents:

instances:

- name: node1
  dns: wifimon-node1.rash.al
  ip: 10.254.24.230

- name: node2
  dns: wifimon-node2.rash.al
  ip: 10.254.24.232

- name: node3
  dns: wifimon-node3.rash.al
  ip: 10.254.24.237

- name: kibana
  dns: wifimon-kibana.rash.al
  ip: 10.254.24.148

- name: logstash
  dns: wifimon-logstash.rash.al

- name: filebeat

Generate the CA certificate and key:

/usr/share/elasticsearch/bin/elasticsearch-certutil ca --ca-dn CN='WiFiMon CA' --days 3650 --keysize 4096 --out $(pwd)/wifimon-ca.zip --pass --pem

The above will create the wifimon-ca.zip file in the current directory. Unzip it.

Generate components certificates and keys:

/usr/share/elasticsearch/bin/elasticsearch-certutil cert --ca-cert $(pwd)/ca/ca.crt --ca-key $(pwd)/ca/ca.key --days 1000 --in $(pwd)/instances.yml --keysize 4096 --out $(pwd)/wifimon-certs.zip --pass --pem

The above will create the wifimon-certs.zip file in the current directory. Unzip it.

The key to configure Logstash must be in the PKCS#8 format:

cd logstash
openssl pkcs8 -topk8 -in logstash.key -out logstash.pkcs8.key
cd ..

At this point the current directory should have the following layout:

├── ca
│ ├── ca.crt
│ └── ca.key
├── filebeat
│ ├── filebeat.crt
│ └── filebeat.key
├── instances.yml
├── kibana
│ ├── kibana.crt
│ └── kibana.key
├── logstash
│ ├── logstash.crt
│ ├── logstash.key
│ └── logstash.pkcs8.key
├── node1
│ ├── node1.crt
│ └── node1.key
├── node2
│ ├── node2.crt
│ └── node2.key
├── node3
│ ├── node3.crt
│ └── node3.key
├── wifimon-ca.zip
└── wifimon-certs.zip

Create a directory named certs under each component’s configuration directory, and copy there the certificate authority and the corresponding component’s certificate and key. At the end, the certs directories on each component should look like the layouts shown below.

On wifimon-kibana.rash.al node:

/etc/elasticsearch/certs/
├── ca.crt
├── kibana.crt
└── kibana.key
/etc/kibana/certs/
├── ca.crt
├── kibana.crt
└── kibana.key

On wifimon-node1.rash.al node:

/etc/elasticsearch/certs/
├── ca.crt
├── node1.crt
└── node1.key

On wifimon-node2.rash.al node:

/etc/elasticsearch/certs/
├── ca.crt
├── node2.crt
└── node2.key

On wifimon-node3.rash.al node:

/etc/elasticsearch/certs/
├── ca.crt
├── node3.crt
└── node3.key

On wifimon-logstash.rash.al node:

/etc/logstash/certs/
├── ca.crt
├── logstash.crt
└── logstash.pkcs8.key

On freeRadius and dhcp server where filebeat is installed:

/etc/filebeat/certs/
├── ca.crt
├── filebeat.crt
└── filebeat.key

For more information on elasticsearch-certutil see its documentation page.

Cluster Configuration

Configuring a cluster means configuring the nodes it consists of, which in turn means defining cluster-general and node-specific settings. Elasticsearch defines these settings in configuration files located under the /etc/elasticsearch directory.

Anchor
jvm_options jvm_options

JVM Options

JVM options are defined in the /etc/elasticsearch/jvm.options file. By default Elasticsearch tells JVM to use a heap of minimum and maximum of 1 GB size. The more heap available, the more memory it can use for caching, however it is recommended to use no more than 50% of the total memory.

On each node, configure the heap size to be 3 GB by setting the -Xms3g and -Xmx3g options. For more information see Setting the heap size.

Master-Eligible / Data Nodes

In a heavy data traffic cluster of many nodes, it is recommended to have the master-eligible and data nodes separated and dedicated to their own role. In this setup, however, there are three nodes configured as having both functionalities.

By default a node is a master-eligible, data, and ingest node, which means (a) it can be elected as master node to control the cluster, (b) it can hold data and perform operations on them, and (c) it is able to filter and enrich a data document before being indexed. Having a dedicated pipeline node with filtering/enriching capabilities there’s no need for the ingest feature, it has been however enabled because it is used for monitoring purposes.

On wifimon-node1.rash.al node:

cluster.name: wifimon
node.name: ${HOSTNAME}
node.master: true
node.voting_only: false
node.data: true
node.ingest: true
node.ml: false
cluster.remote.connect: false
path.data: /var/lib/elasticsearch
path.logs: /var/log/elasticsearch
network.host: wifimon-node1.rash.al
discovery.seed_hosts: [
 "wifimon-node1.rash.al",
 "wifimon-node2.rash.al",
 "wifimon-node3.rash.al"
]
#cluster.initial_master_nodes: [
# "wifimon-node1.rash.al",
# "wifimon-node2.rash.al",
# "wifimon-node3.rash.al"
#]
xpack.security.enabled: true
xpack.security.http.ssl.enabled: true
xpack.security.transport.ssl.enabled: true
xpack.security.transport.ssl.verification_mode: full
xpack.security.http.ssl.key: /etc/elasticsearch/certs/node1.key
xpack.security.http.ssl.certificate: /etc/elasticsearch/certs/node1.crt
xpack.security.http.ssl.certificate_authorities: /etc/elasticsearch/certs/ca.crt
xpack.security.transport.ssl.key: /etc/elasticsearch/certs/node1.key
xpack.security.transport.ssl.certificate: /etc/elasticsearch/certs/node1.crt
xpack.security.transport.ssl.certificate_authorities:
/etc/elasticsearch/certs/ca.crt
xpack.monitoring.enabled: true
xpack.monitoring.collection.enabled: true

On wifimon-node2.rash.al node:

cluster.name: wifimon
node.name: ${HOSTNAME}
node.master: true
node.voting_only: false
node.data: true
node.ingest: true
node.ml: false
cluster.remote.connect: false
path.data: /var/lib/elasticsearch
path.logs: /var/log/elasticsearch
network.host: wifimon-node2.rash.al
discovery.seed_hosts: [
 "wifimon-node1.rash.al",
 "wifimon-node2.rash.al",
 "wifimon-node3.rash.al"
]
#cluster.initial_master_nodes: [
# "wifimon-node1.rash.al",
# "wifimon-node2.rash.al",
# "wifimon-node3.rash.al"
#]
xpack.security.enabled: true
xpack.security.http.ssl.enabled: true
xpack.security.transport.ssl.enabled: true
xpack.security.transport.ssl.verification_mode: full
xpack.security.http.ssl.key: /etc/elasticsearch/certs/node2.key
xpack.security.http.ssl.certificate: /etc/elasticsearch/certs/node2.crt
xpack.security.http.ssl.certificate_authorities: /etc/elasticsearch/certs/ca.crt
xpack.security.transport.ssl.key: /etc/elasticsearch/certs/node2.key
xpack.security.transport.ssl.certificate: /etc/elasticsearch/certs/node2.crt
xpack.security.transport.ssl.certificate_authorities:
/etc/elasticsearch/certs/ca.crt
xpack.monitoring.enabled: true
xpack.monitoring.collection.enabled: true

On wifimon-node3.rash.al node:

cluster.name: wifimon
node.name: ${HOSTNAME}
node.master: true
node.voting_only: false
node.data: true
node.ingest: true
node.ml: false
cluster.remote.connect: false
path.data: /var/lib/elasticsearch
path.logs: /var/log/elasticsearch
network.host: wifimon-node3.rash.al
discovery.seed_hosts: [
 "wifimon-node1.rash.al",
 "wifimon-node2.rash.al",
 "wifimon-node3.rash.al"
]
#cluster.initial_master_nodes: [
# "wifimon-node1.rash.al",
# "wifimon-node2.rash.al",
# "wifimon-node3.rash.al"
#]
xpack.security.enabled: true
xpack.security.http.ssl.enabled: true
xpack.security.transport.ssl.enabled: true
xpack.security.transport.ssl.verification_mode: full
xpack.security.http.ssl.key: /etc/elasticsearch/certs/node3.key
xpack.security.http.ssl.certificate: /etc/elasticsearch/certs/node3.crt
xpack.security.http.ssl.certificate_authorities: /etc/elasticsearch/certs/ca.crt
xpack.security.transport.ssl.key: /etc/elasticsearch/certs/node3.key
xpack.security.transport.ssl.certificate: /etc/elasticsearch/certs/node3.crt
xpack.security.transport.ssl.certificate_authorities:
/etc/elasticsearch/certs/ca.crt
xpack.monitoring.enabled: true
xpack.monitoring.collection.enabled: true

• Each node has the same value for cluster.name which is a unique name identifying the cluster. This is how a node joins a cluster.
• The node.name is set to the value of ${HOSTNAME}, that is the value of the node’s FQDN. This setting can also be configured explicitly to some value.
• The node.master makes this node eligible to be elected as a master node which controls the cluster. Every master-eligible node, which is not a voting_only node, can be the master node of the cluster.
• The node.ml feature is set to false. This is a machine learning feature which by default is set to true by x-pack extension, which comes installed by elastisearch package since version 6.3.
• The cluster.remote.connect setting makes this node function as a cross-cluster client able to connect to remote clusters. This is not the case of this setup so it is set to false.
• The network.host functions as a shortcut for the network.bind_host and network.publish_host. The former specifies the interface to listen for requests while the later is used to communicate with other nodes in the cluster.
• The discovery.seed_hosts provides a list of nodes for this node to contact in order to join the cluster. It is safe to set this to the list of master-eligible nodes.

• The cluster.initial_master_nodes provides a list of master-eligible nodes whose votes count in the very first election of the master node. The nodes in this list must match exactly the node.name of the nodes.

  Note
  title NOTE
  The cluster.initial_master_nodes setting is only used when starting a new cluster for the very first time. This is known as the cluster bootstrapping. This setting should not be used when restarting or adding a new node in an existing cluster.

  
  

• The xpack.security.{http,transport}.* settings enable the SSL/TLS encryption for the HTTP and Transport communication protocol, respectively.

• The xpack.monitoring.enabled enables/disables the monitoring on the node, while xpack.monitoring.collection.enabled enable/disables the collection of monitoring data.

  Note
  title NOTE
  It is recommended to setup a separate cluster for monitoring a production cluster. For more information see Monitoring in a production environment.

  
  

For more information about the aforementioned settings see Node, Network Settings, Important discovery and cluster formation settings, and Secure a cluster.

Coordinating Node

A coordinating node is a node that has node.master, node.data, and node.ingest settings set to false, which means you are left with a node actually behaving as a load-balancer, routing the requests on the appropriate nodes in the cluster.

A coordinating node is an Elasticsearch node which joins the cluster as every cluster node. In this setup, the coordinating node is named wifimon-kibana.rash.al because the Kibana visualization platform has been installed and configured on it.

Below is the configuration of wifimon-kibana.rash.al as an Elasticsearch coordinating node. It follows the same pattern as the master-eligible/data nodes, but with their functionalities set to false.

On wifimon-kibana.rash.al node:

cluster.name: wifimon
node.name: ${HOSTNAME}
node.master: false
node.voting_only: false
node.data: false
node.ingest: false
node.ml: false
cluster.remote.connect: false
path.data: /var/lib/elasticsearch
path.logs: /var/log/elasticsearch
network.host: wifimon-kibana.rash.al
discovery.seed_hosts: [
 "wifimon-node1.rash.al",
 "wifimon-node2.rash.al",
 "wifimon-node3.rash.al"
]
xpack.security.enabled: true
xpack.security.http.ssl.enabled: true
xpack.security.transport.ssl.enabled: true
xpack.security.transport.ssl.verification_mode: full
xpack.security.http.ssl.key: /etc/elasticsearch/certs/kibana.key
xpack.security.http.ssl.certificate: /etc/elasticsearch/certs/kibana.crt
xpack.security.http.ssl.certificate_authorities: /etc/elasticsearch/certs/ca.crt
xpack.security.transport.ssl.key: /etc/elasticsearch/certs/kibana.key
xpack.security.transport.ssl.certificate: /etc/elasticsearch/certs/kibana.crt
xpack.security.transport.ssl.certificate_authorities:
/etc/elasticsearch/certs/ca.crt
xpack.monitoring.enabled: true
xpack.monitoring.collection.enabled: true

Setup Passwords

Elasticsearch comes with built-in users configured, each of them having a set of privileges but with their passwords not set, and consequently unable to be used for authentication.

Passwords setup requires the nodes being up and running in a healthy cluster. Start the elasticsearch instance on each cluster node, and after ensuring each instance is running properly, run the following command in wifimon-kibana.rash.al node to setup the passwords.

/usr/share/elasticsearch/bin/elasticsearch-setup-passwords auto -u "https://wifimon-kibana.rash.al:9200"

The above command will randomly generate passwords for each built-in user. Save the output!

For more information on Built-in users follow the link.

Kibana Platform

Kibana is a browser-based interface that allows for searching, viewing, and interacting with the data stored in the cluster. It’s a visualization platform for creating charts, tables, and maps to represent the data. Kibana should be configured in an Elasticsearch node. The configuration of Kibana is done by editing the /etc/kibana/kibana.yml file.

On wifimon-kibana.rash.al node:

server.port: 5601
server.host: "wifimon-kibana.rash.al"
server.name: "wifimon-kibana"
elasticsearch.hosts: ["https://wifimon-kibana.rash.al:9200"]
server.ssl.enabled: true
server.ssl.certificate: /etc/kibana/certs/kibana.crt
server.ssl.key: /etc/kibana/certs/kibana.key
elasticsearch.ssl.certificateAuthorities: ["/etc/kibana/certs/ca.crt"]
elasticsearch.ssl.verificationMode: full

The elasticsearch.hosts is an array of URLs of nodes to send the queries. It is set to the https://wifimon-kibana.rash.al:9200 which is the coordinating node.

Kibana application can be optionally configured to write log entries:

pid.file: /var/run/kibana/kibana.pid
logging.dest: /var/log/kibana/kibana.log

This needs two kibana directories created under the /var/run and /var/log directories:

mkdir /var/run/kibana && chown kibana:kibana /var/run/kibana
mkdir /var/log/kibana && chown kibana:kibana /var/log/kibana

The file /lib/tmpfiles.d/kibana.conf should also be created, otherwise the directory /var/run/kibana won’t survive on system reboot – more on tmpfiles.d(5) man page.

d /run/kibana 0755 kibana kibana - -

With logging enabled, rotation is needed. The following will perform a daily rotation of kibana logs.

/var/log/kibana/*.log {
 notifempty
 missingok
 compress
 daily
 rotate 7
 create 0644 kibana kibana
 sharedscripts
 postrotate
 /bin/kill -s SIGHUP $(cat /var/run/kibana/kibana.pid) > /dev/null 2>&1
 endscript
}

Start the kibana service, access the platform at https://wifimon-kibana.rash.al:5601 and authenticate with the elastic superuser and its password.

For more information on Kibana configuration settings see Configuring Kibana.

Cluster Exploration

Even though it is possible to explore the cluster by using the Kibana platform, this section is about querying the cluster by using the REST API provided by Elasticsearch. The querying commands are executed in wifimon-kibana.rash.al node and the user elastic is used for authentication.

Display nodes:

curl -XGET --cacert /etc/elasticsearch/certs/ca.crt --user elastic 'https://wifimon-kibana.rash.al:9200/_cat/nodes?v'

Each node is represented by a row consisting of node's IP, heap and memory % usage, average loads as in uptime command output, the roles (m)aster, (d)ata, (i)ngest, which node is elected (*) as master, and node's name.

Display master node:

curl --cacert /etc/elasticsearch/certs/ca.crt --user elastic -XGET 'https://wifimon-kibana.rash.al:9200/_cat/master?v'

Display health:

 curl -XGET --cacert /etc/elasticsearch/certs/ca.crt --user elastic 'https://wifimon-kibana.rash.al:9200/_cat/health?v'

Our cluster is of green status, but this will change to yellow after stopping the elasticsearch instance in the master node, which was intentionally chosen in order to see the election of the new master.

Our cluster is of green status, but this will change to yellow after stopping the elasticsearch instance in the master node, which was intentionally chosen in order to see the election of the new master.

On wifimon-node1.rash.al (the master node) run "systemctl stop elasticsearch.service" to stop the elasticsearch instance.

Querying the cluster again from wifimon-kibana.rash.al node shows that the wifimon-node1.rash.al has gone and the wifimon-node3.rash.al has been elected as the new master. The cluster status is now yellow.

Start the elasticsearch instance on wifimon-node1.rash.al node and query the cluster again. The wifimon-node1.rash.al will join the cluster and the status of the cluster will become green, while wifimon-node3.rash.al continues to be the master node.

Filebeat Configuration

Filebeat monitors log files for new content, collect log events, and forwards them to Elasticsearch, either directly or via Logstash. In Filebeat terms one speaks about a) the input which looks in the configured log data locations, b) the harvester which reads a single log for new content and sends new log data to libbeat, and c) the output which aggregates and sends data to the configured output. For more information see Filebeat overview.

The configuration of Filebeat is done by editing the /etc/filebeat/filebeat.yml file. Tests will be performed by triggering it manually with sample logs, in order to see how it works and what the results look like. Filebeat will be firstly configured to dump the output in a file, and then will have it forwarding the data toward Logstash.

During the tests, the same samples of logs will be used. For this to be possible, the registry Filebeat uses to store tracking information of last reading, must be deleted. It is recommended to stop the filebeat service before removing the registry. The following little script makes it easier while experimenting with different settings.

#!/bin/bash
systemctl stop filebeat.service && \
rm -rf /var/lib/filebeat/registry/filebeat && \
rm -f /tmp/sample_logs_output.json && \
systemctl start filebeat.service
exit 0

Below are the sample log files to be used in tests. It's about a log event when a user interact with the eduroam Service Provider and another one while interacting with the dhcp server.

Sun Mar 10 08:16:05 2019
 Service-Type = Framed-User
 NAS-Port-Id = "wlan2"
 NAS-Port-Type = Wireless-802.11
 User-Name = "sgjeci@rash.al"
 Acct-Session-Id = "82c000cd"
 Acct-Multi-Session-Id = "CC-2D-E0-9A-EB-A3-88-75-98-6C-31-AA-82-C0-00-00-
00-00-00-CD"
 Calling-Station-Id = "88-75-98-6C-31-AA"
 Called-Station-Id = "CC-2D-E0-9A-EB-A3:eduroam"
 Acct-Authentic = RADIUS
 Acct-Status-Type = Start
 NAS-Identifier = "Eduroam"
 Acct-Delay-Time = 0
 NAS-IP-Address = 192.168.192.111
 Event-Timestamp = "Mar 8 2019 08:16:05 CET"
 Tmp-String-9 = "ai:"
 Acct-Unique-Session-Id = "e5450a4e16d951436a7c241eaf788f9b"
 Realm = "rash.al"
 Timestamp = 1552029365

Jun 18 19:15:20 centos dhcpd[11223]: DHCPREQUEST for 192.168.1.200 from
a4:c4:94:cd:35:70 (galliumos) via wlp6s0
Jun 18 19:15:20 centos dhcpd[11223]: DHCPACK on 192.168.1.200 to a4:c4:94:cd:35:70
(galliumos) via wlp6s0

File Output

As mentioned above, Filebeat will be firstly configured to dump the output in a file. Below is shown the configuration file of Filebeat for each agent. It configures an input of type log, which is needed to read lines from log files. There's also the output which configures the path and the filename to dump the data in, and finally the section of processors to drop some fields Filebeat adds by default, and to add the logtype field used in the Logstash beats-pipeline output.

RADIUS Server

The following is the Filebeat configuration on the radius server, which dumps the data in the /tmp/sample_logs_output.json file.

filebeat.inputs:
- type: log
 enabled: true
 paths: /tmp/radius_sample_logs
 multiline.pattern: '^[[:space:]]'
 multiline.negate: false
 multiline.match: after
output.file:
 path: /tmp
 filename: sample_logs_output.json
processors:
- add_fields:
 target: ''
 fields:
 logtype: radius
- drop_fields:
 fields: ['input', 'host', 'agent', 'acs', 'log', 'ecs']

The important settings here are the multiline.* ones which manage multiline formatted logs. The .pattern matches lines starting with white-space. The .negate and .match work together, and combined as false and after make consecutive lines that match the pattern to be appended to the previous line that doesn't match it. This makes all the lines starting with whites-pace to be appended to the line that hold the date, actually the first line in the radius_sample_logs. For more information see Manage multiline messages.

After executing test_filebeat.sh as root user the following output is generated:

{"@timestamp":"2020-06-28T13:07:37.183Z","@metadata":
{"beat":"filebeat","type":"_doc","version":"7.8.0"},"logtype":"radius","message":"S
un Mar 10 08:16:05 2019\n\tService-Type = Framed-User\n\tNAS-Port-Id = \"wlan2\"\n\
tNAS-Port-Type = Wireless-802.11\n\tUser-Name = \"sgjeci@rash.al\"\n\tAcct-SessionId = \"82c000cd\"\n\tAcct-Multi-Session-Id = \"CC-2D-E0-9A-EB-A3-88-75-98-6C-31-AA82-C0-00-00-00-00-00-CD\"\n\tCalling-Station-Id = \"88-75-98-6C-31-AA\"\n\tCalledStation-Id = \"CC-2D-E0-9A-EB-A3:eduroam\"\n\tAcct-Authentic = RADIUS\n\tAcctStatus-Type = Start\n\tNAS-Identifier = \"Eduroam\"\n\tAcct-Delay-Time = 0\n\tNASIP-Address = 192.168.0.22\n\tEvent-Timestamp = \"Mar 8 2019 08:16:05 CET\"\n\tTmpString-9 = \"ai:\"\n\tAcct-Unique-Session-Id
= \"e5450a4e16d951436a7c241eaf788f9b\"\n\tRealm = \"rash.al\"\n\tTimestamp =
1552029365"}

The logs are located in the message field. The logtype field holds the radius value, thus differentiating these events from the dhcp ones when arriving at Logstash pipeline.

DHCP Server

The following is the Filebeat configuration on the dhcp server, which dumps the data in the /tmp/sample_logs_output.json file.

filebeat.inputs:
- type: log
 enabled: true
 paths: /tmp/dhcp_sample_logs
 include_lines: ['DHCPACK']
output.file:
 path: /tmp
 filename: sample_logs_output.json
processors:
- add_fields:
 target: ''
 fields:
 logtype: dhcp
- drop_fields:
 fields: ['input', 'host', 'agent', 'acs', 'log', 'ecs']

The lines to include from dhcp logs are the ones containing DHCPACK string, which represent the final phase of dhcp operations. These lines are filtered with the include_lines setting.

After executing test_filebeat.sh as root user the following output is generated:

{"@timestamp":"2020-06-28T09:20:17.834Z","@metadata":
{"beat":"filebeat","type":"_doc","version":"7.8.0"},"message":"Jun 18 19:15:20
centos dhcpd[11223]: DHCPACK on 192.168.1.200 to a4:c4:94:cd:35:70 (galliumos) via
wlp6s0","logtype":"dhcp"}

The logtype field contains the dhcp value, thus differentiating these events from the radius ones, when arriving at Logstash pipeline.

Filtering Log Events

Apart from adding or dropping named fields, processors can also be used to filter log events when certain criteria are met. For example, to send out only the log events containing the value Eduroam in the NAS-Identifyer field, the following configuration could be applied.

processors:
 - drop_event:
 when:
 not:
 regexp:
 message: '.*NAS-Identifier.*=.*Eduroam.*'

For more information on configuring processors see Filter and enhance the exported data.

Logstash Output

This section shows how to configure Filebeat’s logstash output to feed the pipeline node.

output.logstash:
 hosts: ["wifimon-logstash.rash.al:5044"]
 ssl.certificate_authorities: ["/etc/filebeat/certs/ca.crt"]
 ssl.certificate: "/etc/filebeat/certs/filebeat.crt"
 ssl.key: "/etc/filebeat/certs/filebeat.key"
 ssl.key_passphrase: "${key_passphrase}"

The hosts setting specifies node and port where Logstash service listens for incoming log events. The ${key_passphrase} references the passphrase of filebeat.key stored in Filebeat keystore -- it's about mutual SSL authentication, the client (filebeat) is forced to provide a certificate to the server (logstash) for the connection to be established.

For this configuration to work, the Elasticsearch index template must be manually loaded. Template autoloading is only supported for the elasticsearch output. Replace elastic-password-goes-here with the proper password and run:

 set +o history
filebeat setup --index-management \
-E output.logstash.enabled=false \
-E 'output.elasticsearch.hosts=["wifimon-kibana.rash.al:9200"]' \
-E output.elasticsearch.protocol=https \
-E output.elasticsearch.username=elastic \
-E output.elasticsearch.password=elastic-password-goes-here \
-E 'output.elasticsearch.ssl.certificate_authorities=["/etc/filebeat/certs/
ca.crt"]'
set -o history

The above command loads the template from wifimon-kibana.rash.al node where elasticsearch is installed. Detailed information is written in the Filebeat log file.

Monitoring

The Kibana platform allows for monitoring the health of Filebeat service. For this to happen, the following configuration must be added in the /etc/filebeat/filebeat.yml file.

monitoring.enabled: true
monitoring.cluster_uuid: "cluster-id-goes-here"
monitoring.elasticsearch.ssl.certificate_authorities:
["/etc/filebeat/certs/ca.crt"]
monitoring.elasticsearch.ssl.certificate: "/etc/filebeat/certs/filebeat.crt"
monitoring.elasticsearch.ssl.key: "/etc/filebeat/certs/filebeat.key"
monitoring.elasticsearch.ssl.key_passphrase: "${key_passphrase}"
monitoring.elasticsearch.hosts: ["https://wifimon-kibana.rash.al:9200"]
monitoring.elasticsearch.username: beats_system
monitoring.elasticsearch.password: "${beats_system_password}"

The value of monitoring.cluster_uuid must be provided. To get it run:

curl --cacert /etc/elasticsearch/certs/ca.crt --user elastic -XGET 'https://wifimon-kibana.rash.al:9200/_cluster/state/all?pretty'

The ${beats_system_password} references the password of the beats_system built-in user which is stored in Filebeat keystore.

Logstash Configuration

Logstash is a data collection engine with real-time pipelining capabilities. A Logstash pipeline consists of three elements, input, filter, and output. The input plugins consume data coming from a source, the filter plugins modify the data as specified, and the output plugins send data to a defined destination. In this setup data comes from Filebeat agents, with their logstash output configured to feed the Logstash instance on port 5044/tcp.

JVM Options

The JVM Options for Logstash are defined in the /etc/logstash/jvm.options file. The configuration is the same as the one configuring the JVM Options of Elasticsearch.

Logstash Settings

Logstash settings are defined in the /etc/logstash/logstash.yml file, which contains the following:

path.data: /var/lib/logstash
path.logs: /var/log/logstash
queue.type: persisted
xpack.monitoring.enabled: true
xpack.monitoring.elasticsearch.username: "logstash_system"
xpack.monitoring.elasticsearch.password: "${logstash_system_password}"
xpack.monitoring.elasticsearch.hosts: "https://wifimon-kibana.rash.al:9200"
xpack.monitoring.elasticsearch.ssl.certificate_authority:
"/etc/logstash/certs/ca.crt"
xpack.monitoring.elasticsearch.ssl.verification_mode: certificate
xpack.monitoring.elasticsearch.sniffing: true

• The path.data and path.logs defines the directories logstash will use to write persistent data and log messages, respectively.
• The queue.type set the queue to persisted to provide protection against data loss by using an on-disk queue. For more information see Persistent Queues.
• The other settings configures Logstash to send monitoring data over SSL/TLS.

Logstash Pipelines

Logstash pipelines are defined in the /etc/logstash/pipelines.yml file, which contains:

- pipeline.id: beats-pipeline
 path.config: "/etc/logstash/conf.d/beats-pipeline.conf"
- pipeline.id: radius-pipeline
 path.config: "/etc/logstash/conf.d/radius-pipeline.conf"
- pipeline.id: dhcp-pipeline
 path.config: "/etc/logstash/conf.d/dhcp-pipeline.conf"

For each pipeline, an id and the configuration file is defined. The beats-pipeline functions as a gate receiving logs from both (radius, dhcp) streams and then feeds their pipelines, respectively.

Anchor
beats_pipeline beats_pipeline

Beats Pipeline

As already mentioned, the beats-pipeline acts as receiver / forwarder of log-events coming from radius and dhcp streams. It doesn’t configure any filter element, but the input and output ones.

input {
    beats {
        port => 5044
        ssl => true
        ssl_certificate_authorities => ["/etc/logstash/certs/ca.crt"]
        ssl_certificate => "/etc/logstash/certs/logstash.crt"
        ssl_key => "/etc/logstash/certs/logstash.pkcs8.key"
        ssl_key_passphrase => "${pkcs8_key_passphrase}"
        ssl_verify_mode => "force_peer"
    }
}

output {
    if ([logtype] == "radius") {
        pipeline { send_to => radiuslogs }
    } else { # logtype is dhcp
        pipeline { send_to => dhcplogs }
    }
}

The beats plugin configures Logstash to listen on port 5044. It also provides settings for SSL/TLS encryption and forces the peer (filebeat) to provide a certificate for identification. The output defines which pipeline to forward the data to, based on the value of logtype field sent from filebeat agent.

RADIUS Pipeline

The radius-pipeline is configured in the /etc/logstash/conf.d/radius-pipeline.conf file. It receives radius log-events sent from the beats-pipeline.

input {
 pipeline { address => radiuslogs }
}
filter {
 mutate { gsub => [ "message", "[\n\t]+", " " ] }
 kv {
 allow_duplicate_values => false
 include_keys => [
 "Calling-Station-Id",
 "Framed-IP-Address",
 "Timestamp",
 "Called-Station-Id",
 "NAS-IP-Address",
 "Acct-Status-Type"
 ]
 remove_field => [
 "logtype",
 "message",
 "@version"
 ]
 }
 if "beats_input_codec_plain_applied" in [tags] {
 mutate { remove_tag => ["beats_input_codec_plain_applied"] }
 }
 geoip { source => "NAS-IP-Address" }
 fingerprint {
 key => "${cipher_key}"
 method => "SHA512"
 source => "Calling-Station-Id"
 target => "Calling-Station-Id"
 }
 fingerprint {
 key => "${cipher_key}"
 method => "SHA512"
 source => "Framed-IP-Address"
 target => "Framed-IP-Address"
 }
}
output {
 stdout { codec => rubydebug }
}

The filter element defines the filters mutate, kv, geoip, and fingerprint. The gsub (global substitute) mutation is used to replace \n\t with space. The kv (key value) filter automatically parses messages formatted on an option=value pattern. A list of fields needed for the correlation is included, and then no needed fields are removed from the log event. The NAS-IP-Address field disposable from the kv plugin, is passed to the source of geoip filter to gather geographical information for that IP. Finally the fingerprint plugin hash-es the Calling-Station-Id (user’s macaddress) and the Framed-IP-Address (user’s IP address) if available.

The output defines the stdout plugin which dumps the filtered data in the standard output, allowing for testing a data flow of Filebeat → Logstash → Logstash_STDOUT.

DHCP Pipeline

The dhcp-pipeline is configured in the /etc/logstash/conf.d/dhcp-pipeline.conf file. It receives dhcp log-events sent from the beats-pipeline.

input {
 pipeline { address => dhcplogs }
}
filter {
 dissect {
 mapping => {
 "message" => "%{} DHCPACK on %{ip} to %{mac} %{}"
 }
 remove_field => [
 "logtype",
 "message",
 "@version"
 ]
 }
 if "beats_input_codec_plain_applied" in [tags] {
 mutate { remove_tag => ["beats_input_codec_plain_applied"] }
 }
 fingerprint {
 key => "${cipher_key}"
 method => "SHA512"
 source => "ip"
 target => "ip"
 }
 fingerprint {
 key => "${cipher_key}"
 method => "SHA512"
 source => "mac"
 target => "mac"
 }
}
output {
 stdout { codec => rubydebug }
}

The filter element defines the filters dissect and fingerprint. The dissect parses the DHCPACK entries and create the fields map and ip populated with the matched values. The fingerprint plugin hash-es these values, for them to be securely stored in the cluster.

The output defines the stdout plugin which dumps the filtered data in the standard output, allowing for testing a data flow of Filebeat → Logstash → Logstash_STDOUT.

Streaming to STDOUT

Having Filebeat agents configured to feed Logstash, whose pipelines are configured to dump data to STDOUT, makes it possible to test a data flowing through Filebeat → Logstash → Logstash_STDOUT.

On wifimon-logstash.rash.al start the logstash service:

systemctl start logstash.service

Set the journal to follow recently appended entries for logstash:

journalctl --follow --unit logstash.service

On radius server run the test_filebeat.sh script as root user.

On wifimon-logstash.rash.al terminal should be shown something like:

{
"Called-Station-Id" => "CC-2D-E0-9A-EB-A3:eduroam",
"Acct-Status-Type" => "Start",
"NAS-IP-Address" => "162.13.218.132",
"@timestamp" => 2019-12-10T17:35:38.054Z,
"Calling-Station-Id" =>
"UFWjPNUDSNkBYirsfcaZlkPrY0UOddLORId8boq59FTAhE3fM8xyV2uShOIf5y8W",
"Timestamp" => "1552029365",
"geoip" => {
"country_code3" => "GB",
"ip" => "162.13.218.132",
"timezone" => "Europe/London",
"country_code2" => "GB",
"continent_code" => "EU",
"latitude" => 51.4964,
"country_name" => "United Kingdom",
"location" => {
"lat" => 51.4964,
"lon" => -0.1224
},
"longitude" => -0.1224
},
"tags" => []
}

On dhcp server run the test_filebeat.sh script as root user.

On wifimon-logstash.rash.al terminal should be shown something like:

{
"mac" =>
"8db8b992e5a9686e0113b1f885ff485e274d3824847a11c6a371ad873eea2959198199068472f84dc8
9a9489380b6cd8ff02cb97c32dfb849c43a8ed86898b76",
"@timestamp" => 2020-06-28T09:46:36.638Z,
"tags" => [],
"ip" =>
"a5b40b78fb8b1062ba2464f2d5d15e05bde353beae313d67a6caabf7d219f7905377f706b13f5bc863
20e6784b97bcad25a90d120bb64137d605a67313b2c415"
 }

The outputs verify the tests were successful, the fields of interest are populated with their values, with some of them being hash-ed. The traffic Filebeat → Logstash was sent over SSL/TLS.

You may have noticed in the output of radius-pipeline that the value of NAS-IP-Address have been changed from private IP to 162.13.218.132 (www.geant.org). This was done intentionally in order to see the results of geoip filter, which gives nothing for private Ips.

Streaming Logs Into Cluster

Until now the streaming of data has been triggered manually by using the sample data. This allowed for testing the configuration of Filebeat and Logstash, and also having a first view of results.

This section is about configuring the components pointing to real data files and implement a streaming through the path Filebeat → Logstash → Elasticsearch.

Filebeat Inputs

In the /etc/filebeat/filebeat.yml file under the filebeat.inputs, the paths should now point to the full path in the filesystem where the RADIUS or the DHCP logs are located.

paths: /tmp/radius_sample_logs

and

paths: /tmp/dhcp_sample_logs

become:

paths: /path/to/your/radius/logs

and

paths: /path/to/your/dhcp/logs

respectively.

Multiple files can be given to paths setting as a list or as a glob-based pattern.

Create User and Role

In order to send log events to the cluster, the user logstash_writer with the role logstash_writer_role must be created. The role assigns the cluster permissions of monitor and manage_index_templates and privileges of write and create_index for radiuslogs and dhcplogs indices. Granted with these permissions the logstash_writer user is able to write data into the index.

To create the role logstash_writer_role run:

curl -X POST --cacert /etc/elasticsearch/certs/ca.crt --user elastic \
'https://wifimon-kibana.rash.al:9200/_security/role/logstash_writer_role?pretty' \
-H 'Content-Type: application/json' -d'
{
 "cluster": [
 "monitor",
 "manage_index_templates"
 ],
 "indices": [
 {
 "names": [
 "radiuslogs",
 “dhcplogs”
 ],
 "privileges": [
 "write",
 "create_index"
 ],
 "field_security": {
 "grant": [
 "*"
 ]
 }
 }
 ],
 "run_as": [],
 "metadata": {},
 "transient_metadata": {
 "enabled": true
 }
}
'

To create the user logstash_user replace some-password-goes-here and run:

set +o history
curl -X POST --cacert /etc/elasticsearch/certs/ca.crt --user elastic \
'https://wifimon-kibana.rash.al:9200/_security/user/logstash_writer?pretty' \
-H 'Content-Type: application/json' -d'
{
 "username": "logstash_writer",
 "roles": ["logstash_writer_role"],
 "full_name": null,
 "email": null,
 "password": "some-password-goes-here",
 "enabled": true
}
'
set -o history

Logstash Output

On radius-pipeline and dhcp-pipeline configuration files, the output should be configured to send data to Elasticsearch cluster. This is done by configuring the Logstash output elasticsearch plugin.

On radius-pipeline, the output becomes:

output {
 elasticsearch {
 ssl => true
 ssl_certificate_verification => true
 cacert => "/etc/logstash/certs/ca.crt"
 user => "logstash_writer"
 password => "${logstash_writer_password}"
 hosts => ["https://wifimon-kibana.rash.al"]
 index => "radiuslogs"
 }
}

On dhcp-pipeline, the output becomes:

output {
 elasticsearch {
 ssl => true
 ssl_certificate_verification => true
 cacert => "/etc/logstash/certs/ca.crt"
 user => "logstash_writer"
 password => "${logstash_writer_password}"
 hosts => ["https://wifimon-kibana.rash.al"]
 index => "dhcplogs"
 }
}

Logstash is now able to send the data over SSL/TLS toward the coordinating node. The logs will be stored in radiuslogs and dhcplogs indices, respectively.

After restarting the components, query the cluster to get information about indices:

curl -XGET --cacert /etc/elasticsearch/certs/ca.crt --user elastic 'https://wifimon-kibana.rash.al:9200/_cat/indices/radiuslogs?v'
curl -XGET --cacert /etc/elasticsearch/certs/ca.crt --user elastic 'https://wifimon-kibana.rash.al:9200/_cat/indices/dhcplogs?v'

ILM Configuration

The intention of WiFiMon is not to keep the RADIUS logs forever, they are only needed for a limited period of time. New log events keep coming so, after that time period has passed, the old logs should be deleted.

Logs are stored in the radiuslogs and dhcplogs indices. The index lifecycle management is achieved by creating and applying ILM policies, which can trigger actions upon indexes based on certain criteria. More information about ILM can be found at ILM Overview page.

Create Policy

This setup is about deleting the index when it’s one day old. Run the following command in the wifimon-kibana.rash.al node to create the wifimon_policy policy.

curl -X PUT --cacert /etc/elasticsearch/certs/ca.crt --user elastic "https://wifimon-kibana.rash.al:9200/_ilm/policy/wifimon_policy?pretty" -H 'Content-Type: application/json' -d'
{
 "policy": {
 "phases": {
 "delete": {
 "min_age": "1d",
 "actions": {
 "delete": {}
 }
 }
 }
 }
}
'

Verify the policy was created:

curl -XGET --cacert /etc/elasticsearch/certs/ca.crt --user elastic "https://wifimon-kibana.rash.al:9200/_ilm/policy/wifimon_policy?pretty"

Apply Policy

The policy must be associated with the indexes upon which it will trigger the configured actions. For this to happen the policy must be configured in the index template used to create the index.

On wifimon-kibana.rash.al node run the following command to apply the wifimon_policy to the wifimon_template index template matching the radiuslogs and dhcplogs indices.

 curl -X PUT --cacert /etc/elasticsearch/certs/ca.crt --user elastic "https://wifimon-kibana.rash.al:9200/_template/wifimon_template?pretty" -H 'Content-Type: application/json' -d'
{
 "index_patterns": ["radiuslogs", “dhcplogs”],
 "settings": {"index.lifecycle.name": "wifimon_policy"}
}
'

Verify the policy was applied to the template:

curl -XGET --cacert /etc/elasticsearch/certs/ca.crt --user elastic "https://wifimon-kibana.rash.al:9200/_template/wifimon_template?pretty"

Logstash Output

The Logstash elasticsearch output plugin provides settings to control the Index Lifecycle Management. Include the ILM settings on radius-pipeline and dhcp-pipeline configuration files, so that the elasticsearch output plugin becomes:

On radius-pipeline:

output {
 elasticsearch {
 ssl => true
 cacert => "/etc/logstash/certs/ca.crt"
 ssl_certificate_verification => true
 user => "logstash_writer"
 password => "${logstash_writer_password}"
 hosts => ["https://wifimon-kibana.rash.al"]
 ilm_enabled => true
 ilm_policy => "wifimon_policy"
 index => "radiuslogs"
 }
}

On dhcp-pipeline:

output {
 elasticsearch {
 ssl => true
 cacert => "/etc/logstash/certs/ca.crt"
 ssl_certificate_verification => true
 user => "logstash_writer"
 password => "${logstash_writer_password}"
 hosts => ["https://wifimon-kibana.rash.al"]
 ilm_enabled => true
 ilm_policy => "wifimon_policy"
 index => "dhcplogs"
 }
}

Restart the logstash service to apply the new settings.

Keystores

n order not to have sensitive information hardcoded in the configuration files and just protecting that information with filesystem permissions, it is recommended to make use of keystores provided by the Elasticsearch components.

Anchor
elasticsearch_keystore elasticsearch_keystore

Elasticsearch

To configure Elasticsearch keystore run the following commands on each cluster node.

Create keystore:

/usr/share/elasticsearch/bin/elasticsearch-keystore create

Add certificate key passphrase for HTTP communication protocol:

/usr/share/elasticsearch/bin/elasticsearch-keystore add xpack.security.http.ssl.secure_key_passphrase

Add certificate key passphrase for Transport communication protocol:

/usr/share/elasticsearch/bin/elasticsearch-keystore add xpack.security.transport.ssl.secure_key_passphrase

Verify:

/usr/share/elasticsearch/bin/elasticsearch-keystore list
keystore.seed
xpack.security.http.ssl.secure_key_passphrase
xpack.security.transport.ssl.secure_key_passphrase

Anchor
kibana_keystore kibana_keystore

Kibana

To configure Kibana keystore run the following commands on wifimon-kibana.rash.al node.

Create keystore:

 sudo -u kibana /usr/share/kibana/bin/kibana-keystore create

Add server.ssl.keyPassphrase:

sudo -u kibana /usr/share/kibana/bin/kibana-keystore add server.ssl.keyPassphrase

Add elasticsearch.username:

sudo -u kibana /usr/share/kibana/bin/kibana-keystore add elasticsearch.username

Enter kibana as username.

Add elasticsearch.password:

 sudo -u kibana /usr/share/kibana/bin/kibana-keystore add elasticsearch.password

Enter the password generated for kibana built-in user.

Verify:

sudo -u kibana /usr/share/kibana/bin/kibana-keystore list
server.ssl.keyPassphrase
elasticsearch.username
elasticsearch.password

Anchor
logstash_keystore logstash_keystore

Logstash

To configure Logstash keystore run the following commands on wifimon-logstash.rash.al node.

For more security, protect the Logstash keystore with a password stored in the environment variable LOGSTASH_KEYSTORE_PASS. This variable must be available to the running logstash instance, otherwise the keystore cannot be accessed.

The LOGSTASH_KEYSTORE_PASS variable is sourced from the /etc/sysconfig/logstash file. Create it to hold the following contents:

LOGSTASH_KEYSTORE_PASS=yourLogstashKestorePassword

Set file owners and permissions as:

-rw------- 1 root root 44 Oct 15 09:54 /etc/sysconfig/logstash

Export the variable:

 export $(cat /etc/sysconfig/logstash)

Create keystore:

/usr/share/logstash/bin/logstash-keystore --path.settings /etc/logstash/ create

Add fingerprint_key:

/usr/share/logstash/bin/logstash-keystore --path.settings /etc/logstash/ add fingerprint_key

Add logstash_system password:

/usr/share/logstash/bin/logstash-keystore --path.settings /etc/logstash/ add logstash_system_password

Add logstash_writer_password:

/usr/share/logstash/bin/logstash-keystore --path.settings /etc/logstash/ add logstash_writer_password

Add pkcs8_key_passphrase:

/usr/share/logstash/bin/logstash-keystore --path.settings /etc/logstash/ add pkcs8_key_passphrase

Verify:

/usr/share/logstash/bin/logstash-keystore --path.settings /etc/logstash/ list
fingerprint_key
logstash_system_password
logstash_writer_password
pkcs8_key_passphrase

Anchor
filebeat_keystore filebeat_keystore

Filebeat

To configure Filebeat keystore run the following commands on the freeRadius server where Filebeat is installed.

Create keystore:

filebeat keystore create

Add key_passphrase:

 filebeat keystore add key_passphrase

Enter the passphrase for filebeat.key

Add beats_system_password:

filebeat keystore add beats_system_password

Enter the password of your beats_system built-in user.

Verify:

filebeat keystore list
beats_system_password
key_passphrase

References

The following links were very useful while writing this material and performing the tests mentioned in it.

• Elasticsearch Reference - https://www.elastic.co/guide/en/elasticsearch/reference/7.8/index.html
• Logstash Reference - https://www.elastic.co/guide/en/logstash/7.8/index.html
• Filebeat Reference - https://www.elastic.co/guide/en/beats/filebeat/7.8/index.html
• Kibana Guide - https://www.elastic.co/guide/en/kibana/7.8/index.html
• Elastic Blog - https://www.elastic.co/blog/