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SAIBERSOC: Synthetic Attack Injection to Benchmark and Evaluate the Performance of Security Operation Centers

Published: 08 December 2020 Publication History

Abstract

In this paper we introduce SAIBERSOC, a tool and methodology enabling security researchers and operators to evaluate the performance of deployed and operational Security Operation Centers (SOCs) (or any other security monitoring infrastructure). The methodology relies on the MITRE ATT&CK Framework to define a procedure to generate and automatically inject synthetic attacks in an operational SOC to evaluate any output metric of interest (e.g., detection accuracy, time-to-investigation, etc.). To evaluate the effectiveness of the proposed methodology, we devise an experiment with n = 124 students playing the role of SOC analysts. The experiment relies on a real SOC infrastructure and assigns students to either a BADSOC or a GOODSOC experimental condition. Our results show that the proposed methodology is effective in identifying variations in SOC performance caused by (minimal) changes in SOC configuration. We release the SAIBERSOC tool implementation as free and open source software.

Supplementary Material

p141-rosso-supplement (p141-rosso-supplement.pdf)
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      cover image ACM Other conferences
      ACSAC '20: Proceedings of the 36th Annual Computer Security Applications Conference
      December 2020
      962 pages
      ISBN:9781450388580
      DOI:10.1145/3427228
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      Published: 08 December 2020

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      Author Tags

      1. Cyber Security Operations Center
      2. Evaluation
      3. Performance
      4. SOC

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      • (2023)Unraveling Threat Intelligence Through the Lens of Malicious URL CampaignsProceedings of the 18th Asian Internet Engineering Conference10.1145/3630590.3630600(78-86)Online publication date: 12-Dec-2023
      • (2023)Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A ReviewACM Computing Surveys10.1145/356557055:10(1-36)Online publication date: 2-Feb-2023
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      • (2020)Metrics for Evaluating Cyber Security Data Visualizations in Virtual RealityPRESENCE: Virtual and Augmented Reality10.1162/pres_a_0036329(223-240)Online publication date: 1-Dec-2020

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