Title: Network security intrusion target detection system in the cloud

Authors: Durga Prasad Srirangam; Adinarayana Salina; B.R. Tapas Bapu; N. Partheeban

Addresses: Department of Computer Science and Engineering, Baba Institute of Technology and Sciences, Visakhapatnam, India ' Department of Computer Science and Engineering, Raghu Institute of Technology, Dakamarri, Visakhapatnam – 531162, India ' Department of Electronics and Communication Engineering, S.A. Engineering College, Chennai, Tamilnadu, India ' School of Computing Science and Engineering, Department of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh 203201, India

Abstract: Cloud computing is a new field that uses the internet to give users on-demand access to a variety of computer resources and services. The framework established in this research project is to maximise the efficiency of security mechanisms deployed in CC settings. Based on a newly invented MH approach known as the reptile search algorithm (RSA), which takes its name from the hunting behaviour of crocodiles, a novel feature selection mechanism has been presented. The RSA improves the performance of the intrusion detection systems (IDSs) framework by picking out just the most important characteristics, or an ideal subset of characteristics, from the functionalities that were recovered by utilising the CNN model. Our study intends to establish a structure for a cloud and fog technology security policy and NSL-KDD dataset is used for the process.

Keywords: intrusion detection systems; IDSs; assessment; NIDS; suggestions for cloud technology and security; fault diagnosis.

DOI: 10.1504/IJESDF.2024.140752

International Journal of Electronic Security and Digital Forensics, 2024 Vol.16 No.5, pp.602 - 613

Received: 22 Sep 2022
Accepted: 06 Dec 2022

Published online: 02 Sep 2024 *

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