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

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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.
Originele taal-2Engels
TitelProceedings - 36th Annual Computer Security Applications Conference, ACSAC 2020
Plaats van productieNew York, NY, USA
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's13
ISBN van elektronische versie9781450388580
ISBN van geprinte versie9781450388580
StatusGepubliceerd - 9 dec 2020
EvenementAnnual Computer Security Applications Conference 2020 -
Duur: 9 dec 202011 dec 2020

Publicatie series

NaamACM International Conference Proceeding Series


CongresAnnual Computer Security Applications Conference 2020
Verkorte titelACSAC 2020
Internet adres

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