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Security Analysis of Information Systems Based on Attack Sequences Generation and Testing

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Intelligent Distributed Computing XIV (IDC 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1026))

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Abstract

The paper considers an issue of analysis of security risks posed by the multistage cyber attacks using known tactics, techniques, and procedures. The technique for cyber attack sequences modeling and testing using source data from the MITRE ATT&CK database and the production model is proposed. Risk assessment is implemented for the generated cyber attack sequences, analysed information system components and an information system as a whole using risks decomposition and Common Vulnerability Scoring System metrics. The developed techniques for cyber attack sequences modeling and risks assessment are implemented within the software tool. The tool also allows recommending possible countermeasures for the successful attack sequences using MITRE ATT& CK data. The experiments for different infrastructures are conducted and application of the developed tool is demonstrated on the case study.

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Acknowledgements

This research is being supported by the grant of RFBR #19-07-01246 in SPC RAS.

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Correspondence to Igor Kotenko .

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Kryukov, R., Doynikova, E., Kotenko, I. (2022). Security Analysis of Information Systems Based on Attack Sequences Generation and Testing. In: Camacho, D., Rosaci, D., Sarné, G.M.L., Versaci, M. (eds) Intelligent Distributed Computing XIV. IDC 2021. Studies in Computational Intelligence, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-96627-0_39

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