We are happy to announce that new Radiator SIM Pack version 2.1 is now available!
This is mainly an enhancement and bugfix release with some minor new features. We have fixed several small issues and improved all SIM authentication methods, 3GPP AAA Server and SIGTRAN interoperability and compatibility with different vendors’ devices. Many of these improvements are based on customer requests for new features and enhancements. In addition to new interoperability features, SIGTRAN support was updated with a number of configuration options that are useful for making sure Radiator fits your existing SIGTRAN environment.
Radiator SIM Pack 2.1 requires Radiator AAA Server version 4.16 or later. Some features, such as using 3GPP AAA Server and LocalAddress or LocalPort parameters, require Radiator 4.17 or later. The complete list of changes is available on the revision history page.
Solutions made with Radiator AAA server and other Radiator Software products. Cooking with Radiator for success!
Thursday, May 4, 2017
Tuesday, January 10, 2017
DevOps and Radiator
With the first release of the Radiator VNF coming this year, it is a good time to take a quick look at the DevOps model, how we have embraced it, and how it will be on the center of the stage in Radiator VNF.
This post tells you a bit about DevOps in general and an example of a Chef cookbook follows after it. Radiator VNF's configuration management will be discussed in later blog posts.
DevOps emphasises communication between different parts of the organisation and pushes the processes to be more automated and agile. Changes to the software or configuration are planned, made, tested, deployed, and monitored in a continuous, automated way.
attributes/default.rb:
recipes/install.rb:
recipes/service.rb:
This post tells you a bit about DevOps in general and an example of a Chef cookbook follows after it. Radiator VNF's configuration management will be discussed in later blog posts.
What is DevOps?
You get multiple different answers when searching for clues behind the portmanteau: DevOps. Sure, it's a merging of development and operations. Possibly, it's also a bunch of different tools. Or, you might describe it as a change in the processes of an organisation.
Combining all these, DevOps can be described as a cultural change in the organisation. It's not something you purchase from the store and sprinkle on top of your employees.
DevOps emphasises communication between different parts of the organisation and pushes the processes to be more automated and agile. Changes to the software or configuration are planned, made, tested, deployed, and monitored in a continuous, automated way.
![]() |
| DevOps toolchain by Kharnagy, CC BY-SA 4.0, original |
Compared to the old way of divided silos and huge, rarely-made releases with massive change logs, this model encourages making smaller changes, testing them swiftly, and deploying often. Stronger collaboration between developers and operators and a faster, automated cycle improve reliability.
Especially in a flexible and distributed cloud environment, this new approach is needed. Otherwise, it is very difficult for a single operator to manually handle thousands of nodes. The tools grant you the possibility of easily having identical environments with slightly different parameters. With automation, there's no more forgetting to run that command and changing those addresses when manually moving from testing to QA to production.
For us, the shift to a DevOps culture in the customer base means that we also support the DevOps tooling and make it easier for our customers to deploy Radiator with automated configuration management systems. In the Radiator VNF, the whole infrastructure is managed automatically.
Especially in a flexible and distributed cloud environment, this new approach is needed. Otherwise, it is very difficult for a single operator to manually handle thousands of nodes. The tools grant you the possibility of easily having identical environments with slightly different parameters. With automation, there's no more forgetting to run that command and changing those addresses when manually moving from testing to QA to production.
For us, the shift to a DevOps culture in the customer base means that we also support the DevOps tooling and make it easier for our customers to deploy Radiator with automated configuration management systems. In the Radiator VNF, the whole infrastructure is managed automatically.
Chef, tool for DevOps
Chef is a set of tools developed by a company with the same name. There are several similar tools available, such as Ansible, Puppet and SaltStack among others, so you will find suitable a DevOps-tool for your particular use case.
Chef uses Ruby to describe the infrastructure as code. This means that the configuration of the infrastructure, from the operating system level to the running software services, and their configuration, can be written as Ruby code and then tested like any piece of software.
In Chef terms, the user writes cookbooks which consist of recipes. For example, a cookbook describes a software with different recipes for installation, configuration, and starting the services. The power lies in the community that has written thousands of cookbooks for various tasks. For example, you don't have to write your own cookbooks to install nginx and configure a website. Just download ready-made cookbooks like chef_nginx and configure them to suite your needs.
By using cookbooks, you can describe your whole infrastructure. The cookbooks can be unit tested, integration tested, and after deployment you can ensure compliance with rules of your organisation.
Short Chef example
As an example and sneak peek for the next post on this theme, here is a quick introduction on Chef cookbooks. These snippets are not complete, but show some features that are used to describe installing Radiator, creating some necessary directories, and starting the service.
If you want a longer introduction on Chef attributes, recipes, and resources, have a look at the tutorials.
metadata.rb: If you want a longer introduction on Chef attributes, recipes, and resources, have a look at the tutorials.
name 'radiator' maintainer 'Arch Red Oy' version '0.6.2' depends 'perl', '~> 4.0.0' depends 'poise-service', '~> 1.4.1' supports 'ubuntu', '= 16.04' supports 'centos', '= 7.2'
attributes/default.rb:
default['radiator']['install']['version'] = '4.17' default['radiator']['install']['method'] = 'archive' default['radiator']['install']['directory'] = '/opt/radiator'
recipes/install.rb:
install_method = node['radiator']['install']['method'] poise_service_user 'radiator' do group 'radiator' home node['radiator']['user_home'] unless node['radiator']['user_home'].nil? shell node['radiator']['user_shell'] unless node['radiator']['user_shell'].nil? end %w(/var/run/radiator /var/log/radiator).each do |dir| directory dir do owner 'radiator' group 'radiator' end end unless install_method.nil? || install_method == 'skip' include_recipe "radiator::install_#{install_method}" end
recipes/service.rb:
case install_method when 'package' radiusd_bin = '/usr/bin/radiusd' dictionary_files << '/etc/radiator/dictionary' when 'archive', 'evaluation' radiusd_bin = '/usr/local/bin/radiusd' radiusd_includes << node['radiator']['install']['directory'] dictionary_files << node['radiator']['install']['directory'] + '/dictionary' end unless node['radiator']['options']['dictionary_source'].empty? dictionary_files << '/etc/radiator/' + node['radiator']['options']['dictionary_file'] end radiusd_params = ['-foreground', '-config_file /etc/radiator/' + node['radiator']['options']['config_file'], '-dictionary ' + dictionary_files.flatten.join(','), node['radiator']['options']['radiusd_params']] radiusd_includes = [node['radiator']['options']['radiusd_includes'], radiusd_includes].flatten.map { |inc| "-I #{inc}" } perl_bin = '/usr/bin/env perl' radiusd_command = [perl_bin, radiusd_includes, radiusd_bin, radiusd_params].flatten.join(' ') poise_service 'radiator' do command radiusd_command user 'radiator' directory '/etc/radiator' subscribes :restart, "template[/etc/radiator/#{node['radiator']['options']['config_file']}]" end
Thursday, September 29, 2016
Make your Radiator log data searchable, part 2
This is the second part of blog series that helps you to use the log data that Radiator generates.
In the first part of blog series, we configured Radiator to export data in JSON format. This part shows some basic examples about utilising that data.
The setup introduced in blog series part 1 is running and it produces log data in JSON format. The JSON data is forwarded to an analysis tool. In this case, we use Elastic Stack and its visualisation tool Kibana for analysing the sample data. For more information about Elastic Stack, see the Elastic Stack website, or an open source fork of Elastic Stack, OpenSearch. Configuring the data forwarding depends on the chosen tool and it is not discussed in this blog post.
This image shows how the log data is processed when using Elastic Stack for analysing:

radpwtst tool, which is included in Radiator distribution, is used as a RADIUS client. Thus, it authenticates via RADIUS and Radiator logs authentication attempts as entries to authlog.json file. Here is a sample of one authentication entry as shown in the JSON file:
The name-value pairs are not ordered in any way so they are hard to read as such. To get a better idea of the data, it must be parsed. One option is to use configuration variable for the plaintext output, it is feasible to use, at least in the testing phase. This helps to verify that the data is correctly interpreted by Elastic Stack.
Elastic Stack parses the data so we can explore the contents in Kibana. Part of our sample data looks like this in Kibana:

By clicking each entry open, we can verify that all name-value pairs are distinguished. By default, each name-value pair is indexed and searchable, and if you add new fields to the JSON data, Elastic Stack indexes them automatically. They are parsed and usable in your searches without need for other modifications. This enables searching of wide variety of name-value pairs and their combinations.

Kibana shows the amount of entries in each time window. By filtering everything else but authentication-related entries, we see trends in amount of authentication attempts.

Similarly, we can create visualisation of access/reject rate within a certain time frame.

There will be examples of more detailed JSON use cases in the blog. If you have questions, contact Radiator team at sales(a.t.)radiatorsoftware.com – we are happy to help you to have more benefits of your log data.
In the first part of blog series, we configured Radiator to export data in JSON format. This part shows some basic examples about utilising that data.
The setup introduced in blog series part 1 is running and it produces log data in JSON format. The JSON data is forwarded to an analysis tool. In this case, we use Elastic Stack and its visualisation tool Kibana for analysing the sample data. For more information about Elastic Stack, see the Elastic Stack website, or an open source fork of Elastic Stack, OpenSearch. Configuring the data forwarding depends on the chosen tool and it is not discussed in this blog post.
This image shows how the log data is processed when using Elastic Stack for analysing:
radpwtst tool, which is included in Radiator distribution, is used as a RADIUS client. Thus, it authenticates via RADIUS and Radiator logs authentication attempts as entries to authlog.json file. Here is a sample of one authentication entry as shown in the JSON file:
{"nas_port":"1234","source_host":"osc-dev-3","time":"1463404359","type":"authentication","timestamp":"2016-05-16T16:12:39Z","nas_identifier":"203.63.154.1","nas_ip_address":"203.63.154.1","calling_station_id":"987654321","result":"accept","username":"mikem","called_station_id":"123456789","trace_id":"43efcbe2"}
The name-value pairs are not ordered in any way so they are hard to read as such. To get a better idea of the data, it must be parsed. One option is to use
Visualising log data with Kibana
By clicking each entry open, we can verify that all name-value pairs are distinguished. By default, each name-value pair is indexed and searchable, and if you add new fields to the JSON data, Elastic Stack indexes them automatically. They are parsed and usable in your searches without need for other modifications. This enables searching of wide variety of name-value pairs and their combinations.
Kibana shows the amount of entries in each time window. By filtering everything else but authentication-related entries, we see trends in amount of authentication attempts.
Similarly, we can create visualisation of access/reject rate within a certain time frame.
Do you want to know more?
Labels:
AAA,
aaa server,
Elastic Stack,
JSON,
logging,
Radiator AAA,
radius,
use case
Monday, September 12, 2016
Utilising Radiator when evolving to 4G/LTE
One of the Radiator use cases is evolving your infrastructure for 4G/LTE features. Some of our customers already provide prepaid data plans in 3G/CDMA network but now they need to provide also 4G/LTE features for their subscribers. At the same time, being able to use the parts of the current infrastructure saves network operator’s money and time.
Radiator’s flexibility has a lot to offer for this kind of use case. You can choose any vendor for your LTE core network and Radiator will work seamlessly with it, thanks to Radiator’s multi-vendor support.
With Radiator, the same functionalities that have been implemented in 3G/CDMA network with RADIUS interfaces before, can now be implemented in 4G/LTE network with Diameter interfaces. You only need to replace your current RADIUS server with Radiator Telco Pack that provides all the needed features.
Radiator makes it also possible to use the existing customer data plans and business logic when updating for example from CDMA to LTE. For this integration, Radiator communicates with the original billing system using SQL or LDAP interfaces, among others. At the same time, Radiator uses Diameter interfaces, such as Gy, for integrating with LTE network infrastructure. See the picture below for basic layout.

Radiator’s flexibility has a lot to offer for this kind of use case. You can choose any vendor for your LTE core network and Radiator will work seamlessly with it, thanks to Radiator’s multi-vendor support.
With Radiator, the same functionalities that have been implemented in 3G/CDMA network with RADIUS interfaces before, can now be implemented in 4G/LTE network with Diameter interfaces. You only need to replace your current RADIUS server with Radiator Telco Pack that provides all the needed features.
Radiator makes it also possible to use the existing customer data plans and business logic when updating for example from CDMA to LTE. For this integration, Radiator communicates with the original billing system using SQL or LDAP interfaces, among others. At the same time, Radiator uses Diameter interfaces, such as Gy, for integrating with LTE network infrastructure. See the picture below for basic layout.
Do you want to know more?
If you are interested in this kind of solution for your network, please do not hesitate to contact our sales team sales(a.t.)radiatorsoftware.com. We and our worldwide partner network are happy to provide you assistance in your project.
If you are interested in this kind of solution for your network, please do not hesitate to contact our sales team sales(a.t.)radiatorsoftware.com. We and our worldwide partner network are happy to provide you assistance in your project.
Tuesday, August 2, 2016
Secure your network and services with Radiator two-factor authentication
Modern services all around the Internet offer different two-factor authentication solutions. They provide stronger security than using only username and password. Two-factor authentication requires a combination of something the user knows and something the user possesses. One common combination is the username and PIN or password with a physical token, such as a specific device, smart card, or mobile phone. The two-factor secured service may range from a web service to a network device to a remote VPN (Virtual Private Network) access – wherever stronger security is needed.
Radiator AAA Server Software provides flexible, interoperable, and scalable two-factor AAA (Authentication, Accounting, and Authorisation) service for any device or service, which can use RADIUS, TACACS, or TACACS+ interface for AAA. The VPN devices can authenticate remote employees, the network devices can authorise administrators, and the web services can identify the users with secure two-factor authentication. All you need is Radiator-based two-factor AAA service and a free mobile phone app, such as Google Authenticator, Microsoft Authenticator, or some other OTP/TOTP/HOTP app. The authenticator app is paired with Radiator two-factor AAA service and particular user credentials, and two-factor authentication are ready to be used.
Another major benefit of using Radiator is its legendary interoperability. Radiator can combine complementary AAA information and functions from Active Directory, LDAP, and even 3rd party two-factor services, such as RSA SecurID, YubiKey, Duo Security, and Vasco Digipass. It can check existence and validity of a user from Active Directory, retrieve a proper VPN group, perform two-factor authentication using TOTP (Time-based One-time Password Algorithm), and then combine the results to a RADIUS authentication and authorisation response, which is sent back to a Cisco ASA VPN device.
Radiator can also extend the functionalities of 3rd party two-factor authentication services by translating and complementing AAA interactions between services and devices. For example, Radiator combines fine-grained TACACS(+)- or RADIUS-based network device configuration authorisation with existing user directories and two-factor authentication. The two-factor authentication data may be retrieved from Radiator itself or some 3rd party service. With the help of Radiator’s extendable two-factor modules, Radiator also supports SMS transfer of one-time-passwords, when using tokens or authenticator app is not feasible.
Radiator and its two-factor authentication functionalities have already been deployed in several different environments such as:
Would you like to know more?
Contact our team at info@open.com.au to set up a meeting, where we can discuss how Radiator could help you in securing access to your services or network with two-factor authentication.
![]() |
| Figure 1: Radiator based two-factor authentication and authorisation architecture |
Radiator AAA Server Software provides flexible, interoperable, and scalable two-factor AAA (Authentication, Accounting, and Authorisation) service for any device or service, which can use RADIUS, TACACS, or TACACS+ interface for AAA. The VPN devices can authenticate remote employees, the network devices can authorise administrators, and the web services can identify the users with secure two-factor authentication. All you need is Radiator-based two-factor AAA service and a free mobile phone app, such as Google Authenticator, Microsoft Authenticator, or some other OTP/TOTP/HOTP app. The authenticator app is paired with Radiator two-factor AAA service and particular user credentials, and two-factor authentication are ready to be used.
Another major benefit of using Radiator is its legendary interoperability. Radiator can combine complementary AAA information and functions from Active Directory, LDAP, and even 3rd party two-factor services, such as RSA SecurID, YubiKey, Duo Security, and Vasco Digipass. It can check existence and validity of a user from Active Directory, retrieve a proper VPN group, perform two-factor authentication using TOTP (Time-based One-time Password Algorithm), and then combine the results to a RADIUS authentication and authorisation response, which is sent back to a Cisco ASA VPN device.
Radiator can also extend the functionalities of 3rd party two-factor authentication services by translating and complementing AAA interactions between services and devices. For example, Radiator combines fine-grained TACACS(+)- or RADIUS-based network device configuration authorisation with existing user directories and two-factor authentication. The two-factor authentication data may be retrieved from Radiator itself or some 3rd party service. With the help of Radiator’s extendable two-factor modules, Radiator also supports SMS transfer of one-time-passwords, when using tokens or authenticator app is not feasible.
Radiator and its two-factor authentication functionalities have already been deployed in several different environments such as:
- Fortune 250 company uses Radiator for two-factor authentication of their global VPN network.
- IT departments of world’s two top universities provide VPN service for their employees, partners, and students utilising Radiator’s capability to combine Duo Security two-factor authentication service to additional LDAP directory checks.
- Nordic operator provides multi-function (RSA SecurID, SMS) two-factor authentication service to their enterprise customers.
Would you like to know more?
Contact our team at info@open.com.au to set up a meeting, where we can discuss how Radiator could help you in securing access to your services or network with two-factor authentication.
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