Assessing system of systems security risk and requirements with OASoSIS.

Ki-Aries, Duncan; Faily, Shamal; Dogan, Huseyin; Williams, Christopher

Abstract

When independent systems come together as a System of Systems (SoS) to achieve a new purpose, dealing with requirements conflicts across systems becomes a challenge. Moreover, assessing and modelling security risk for independent systems and the SoS as a whole is challenged by a gap in related research and approaches within the SoSs domain. In this paper, we present an approach for bridging SoS and Requirements Engineering by identifying aligning SoSs concepts to assess and model security risk and requirements. We introduce our OASoSIS approach modifying OCTAVE Allegro for SoSs using CAIRIS (Computer Aided Integration of Requirements and Information Security) with a medical evacuation (MEDEVAC) SoS exemplar for Security Requirements Engineering tool-support.

Citation

KI-ARIES, D., FAILY, S., DOGAN, H. and WILLIAMS, C. 2018. Assessing system of systems security risk and requirements with OASoSIS. In Beckers, K., Faily, S., Lee, S.-W. and Mead, N. (eds.) Proceedings of the 5th International workshop on evolving security and privacy requirements engineering (ESPRE 2018), 20 August 2018, Banff, Canada. Los Alamitos: IEEE Computer Society [online], pages 14-20. Available from: https://doi.org/10.1109/ESPRE.2018.00009

• Conference Name: 5th International workshop on evolving security and privacy requirements engineering (ESPRE 2018)
• Conference Location: Banff, Canada
• Start Date: Aug 20, 2018
• Acceptance Date: Jul 6, 2018
• Online Publication Date: Oct 22, 2018
• Publication Date: Dec 31, 2018
• Deposit Date: Sep 17, 2021
• Publicly Available Date: Dec 1, 2021
• Publisher: IEEE Computer Society
• Pages: 14-20
• ISBN: 9781538684214
• DOI: https://doi.org/10.1109/ESPRE.2018.00009
• Keywords: System of systems (SoS); Security risk analysis; Human factors; Requirements engineering; Computer aided integration of requirements and information security (CAIRIS)
• Public URL: https://rgu-repository.worktribe.com/output/1437872