Title: Design of an enterprise cloud-based intrusion detection system model, using back propagation network based on particle swarm optimisation algorithm

Authors: G. Nagarajan; G.V. Sushmitha; R. Susmitha

Addresses: Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai, India ' Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai, India ' Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai, India

Abstract: Due to the advancement in internet technologies, the demand for effective intrusion detection system (IDS) is increasing tremendously. The main objective of an IDS is to detect the instant attain in network with high accuracy. This paper mainly deals with IDS in cloud network. The existing system failed to protect the system due to increase in attacks, malwares and unable to track the high false positive and negative traffic rate. In this paper, a new hybrid bio-inspired-based IDS using swarm optimisation algorithm. Using this algorithm, the detection rate is improved and the false alarm rate is decreased.

Keywords: intrusion detection system; IDS; swarm optimisation; cloud computing.

DOI: 10.1504/IJENM.2022.122404

International Journal of Enterprise Network Management, 2022 Vol.13 No.1, pp.44 - 56

Received: 27 Jul 2019
Accepted: 29 Nov 2019
Published online: 25 Apr 2022 *

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