Efficient attack mitigation using queueing theory applied on Cloud-IPS

DOI

10.2991/978-94-6463-496-9_16How to use a DOI?

Keywords

Cybersecurity; QoS; Efficiency; Queueing Model; Cloud; IPS; IDS; SaaS

Abstract

This paper introduces a novel approach for deploying an intrusion prevention solution hosted in the cloud, supporting the utilization of Security as a Service (SaaS) concept. Our approach aims to optimize costs and execution time associated with the implementation of the security solution. We have developed a comprehensive mathematical model underpinning our approach, along with performance evaluation, simulation and validation tests. The results demonstrate the effectiveness of our method, with efficient cost and execution time measurement. This new approach holds promising prospects for enhancing on premise system security based on cloud environment, providing an economical and high-performing solution for enterprise against cyber intrusions.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Islem Teboub
AU  - Amar Aissani
PY  - 2024
DA  - 2024/08/31
TI  - Efficient attack mitigation using queueing theory applied on Cloud-IPS
BT  - Proceedings of the International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024)
PB  - Atlantis Press
SP  - 199
EP  - 214
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-496-9_16
DO  - 10.2991/978-94-6463-496-9_16
ID  - Teboub2024
ER  -