Title: Computer and network security: intrusion detection system using mobile agent

Authors: Samir Bourekkache; Okba Kazar; Ahmed Aloui; Ghazali Hamouda

Addresses: Smart Computer Science Laboratory (LINFI), Computer Science Department, University of Biskra, Algeria ' Smart Computer Science Laboratory (LINFI), Computer Science Department, University of Biskra, Algeria; Department of Information Systems and Security, College of Information Technology, United Arab Emirate University, United Arab Emirates ' Smart Computer Science Laboratory (LINFI), Computer Science Department, University of Biskra, Algeria ' Computer Science Department, University of Biskra, Algeria

Abstract: With the evolution of internet and computer networks, security has become a major concern over the years. Security is a focal aspect of every computer system and so the quality of these systems depends on the provided functionalities as well as the degree of their security. Generally, we trust the used networks when using our personal and sensitive information. However, several threats and attacks of stealing our information and harming our computers are possible. Therefore, intrusion detection system is one of the most widely used systems to diagnose various threats and malicious activity on computer networks. There are a lot of works that have proposed MAS-based intrusion diagnostic techniques to handle attacks. In this paper, we proposed an approach for intrusion detection system that uses a set of mobile agents to ensure the protection of the whole data and machines from attackers. Moreover, to detect possible attacks, we use the scenario method that is based on the comparison of the packets received in the network with the information stored in the attacks signature database.

Keywords: intrusion detection systems; computer and network security; multi-agents system; MAS; mobile agent; JADE.

DOI: 10.1504/IJESDF.2022.123843

International Journal of Electronic Security and Digital Forensics, 2022 Vol.14 No.4, pp.318 - 340

Accepted: 18 May 2021
Published online: 04 Jul 2022 *

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