Title: Study on swarm intelligence algorithms in different computing techniques for cyber security

Authors: Komalpreet Kaur; Yogesh Kumar

Addresses: Department of Electronic and Communications, Punjabi University, Patiala – 147002, India ' Department of CSE, Chandigarh Group of Colleges, Landran, Mohali – 140307, India

Abstract: Swarm intelligence algorithms have attaining much acceptance nowadays due to the fact that several real-life optimisation issues have become progressively large, difficult and vibrant. The size and complexity of the various problems currently need the implementation of approaches and desired solutions whose efficacy is computed by their capacity to discover suitable outcomes within a sensible quantity of time, as compared to the capability to assurance the optimal solution. The paper covers the swarm intelligence algorithms and their significance in various computing system for cyber security. The paper also focus on the role and applicability of numerous swarm intelligence techniques such as firefly optimisation, bat optimisation, Lion optimisation, chicken optimisation, social spider and many more in the field of cloud, fog and edge computing systems for cyber security. The review also highlights the work done by researchers in intrusion detection, attacks detection and effects of it on networks using swarm intelligence.

Keywords: swarm intelligence; bat algorithm; social spider algorithm; computing techniques; intrusion detection system; attacks; cyber security; cloud computing; fog computing; edge computing.

DOI: 10.1504/IJFE.2020.10037771

International Journal of Forensic Engineering, 2020 Vol.4 No.4, pp.278 - 291

Received: 17 Jul 2020
Accepted: 06 Sep 2020

Published online: 14 May 2021 *

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