Abstract

Nowadays, small to medium sized companies, which usually cannot afford hiring dedicated security experts, are interested in benefiting from Managed Security Services (MSS) provided by third party Security Operation Centers (SOC) to tackle network-wide threats. Accordingly, the performance of the SOC is becoming more and more important to the service providers in order to optimize their resources and compete in the global market. Security specialists in a SOC, called analysts, have an important role to analyze suspicious machine-generated alerts to see whether they are real attacks. How to monitor and improve the performance of analysts inside a SOC is a critical issue that most service providers need to address. In this paper, by observing workflows of a real-world SOC, a tool consisting of three different modules is designed for monitoring analysts' activities, analysis performance measurement, and performing simulation scenarios. The tool empowers managers to evaluate the SOC's performance which helps them to conform to Service-Level Agreement (SLA) regarding required response time to security incidents, and see the need for improvement. Moreover, the designed tool is strengthened by a background service module to provide feedback about anomalies or informative issues for security analysts in the SOC. Three case studies have been conducted based on real data collected from the operational SOC, and simulation results have demonstrated the effectiveness of the different modules of the designed tool in improving the SOC performance.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.