Joint Security-vs-QoS Framework: Optimizing the Selection of Intrusion Detection Mechanisms in 5G networks

Bozorgchenani, A. orcid.org/0000-0003-1360-6952, Zarakovitis, C.C., Chien, S.F. et al. (4 more authors) (2022) Joint Security-vs-QoS Framework: Optimizing the Selection of Intrusion Detection Mechanisms in 5G networks. In: Proceedings of the 17th International Conference on Availability, Reliability and Security. ARES 2022: The 17th International Conference on Availability, Reliability and Security, 23-26 Aug 2023, Vienna, Austria. ACM ISBN 9781450396707

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Item Type: Proceedings Paper
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© ACM 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security, https://doi.org/10.1145/3538969.3544480.

Keywords: 5G, cybersecurity, system cost, QoS, multi-objective-optimization, risk detection, risk mitigation
Dates:
  • Published: 23 August 2022
  • Published (online): 23 August 2022
  • Accepted: 10 June 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 26 Jan 2024 10:46
Last Modified: 31 Jan 2024 15:36
Published Version: https://dl.acm.org/doi/10.1145/3538969.3544480
Status: Published
Publisher: ACM
Identification Number: 10.1145/3538969.3544480
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