A Model of a Pragmatic Secure Intrusion Detection System for Local Area Networks

Ele, B and Alo, U and Mbam, B and Ofem, A (2016) A Model of a Pragmatic Secure Intrusion Detection System for Local Area Networks. British Journal of Mathematics & Computer Science, 13 (2). pp. 1-15. ISSN 22310851

[thumbnail of Ele1322015BJMCS22190.pdf] Text
Ele1322015BJMCS22190.pdf - Published Version

Download (1MB)

Abstract

Intrusion detection is very imperative in network systems due to outstanding vulnerabilities left unaddressed by current preventive network security measures such as firewalls and encryption software. The inefficiency, inaccuracy, high false alarm rates and lack of self-defensive mechanism of existing network security systems has continued to pose serious concern to network users, administrators and security professionals and thus needs urgent redress. Therefore, the target of this paper is to develop a model of a pragmatic secure intrusion detection system for local area networks using layered framework with conditional random fields that is capable of overcoming the apparent shortcomings of present intrusion detection systems. A critical analysis of existing IDSs was done using the structured system analysis and design methodology (SSADM) due to the sequential configuration of the proposed security system. Furthermore, a real-time response mechanism and a self-defensive mechanism for a network intrusion detection system (NIDS) was developed and implemented. The outcome of this study was a secured IDS that would proactively address potential security vulnerabilities by resisting and detecting attacks and security policy violations reliably and efficiently in local area networks, thus making it inevitable for use in our security conscious environment of the 21st century.

Item Type: Article
Subjects: Archive Digital > Mathematical Science
Depositing User: Unnamed user with email support@archivedigit.com
Date Deposited: 09 Jun 2023 06:41
Last Modified: 24 Jan 2024 04:31
URI: http://eprints.ditdo.in/id/eprint/977

Actions (login required)

View Item
View Item