A Novel Comparison Validation Framework for IDS and IPS

Mohamed Yousif*, Liqaa Nawaf, Chaminda Hewage

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Intrusion detection system (IDS) and Intrusion prevention system (IPS) are good mechanisms to protect the network from known or unknown attacks. There are many Intrusion systems that were developed in the past years. Some to enhance existing systems and others to develop a new system with different algorithms. However, there is an ongoing issue with research when it comes to Intrusion systems. One of the main issues is how researches compare and validate their work to other related work. In this paper we highlight how IDS are classified and the techniques that are currently being used. We then discuss the current issues of the testing platforms of IDS, datasets, and the main purpose of IDS. Lastly, we present a novel comparison validation framework for IDS.

Original languageEnglish
Title of host publicationAI Applications in Cyber Security and Communication Networks - Proceedings of 9th International Conference on Cyber Security, Privacy in Communication Networks ICCS 2023
EditorsChaminda Hewage, Liqaa Nawaf, Nishtha Kesswani
PublisherSpringer Science and Business Media Deutschland GmbH
Pages351-371
Number of pages21
ISBN (Print)9789819739721
DOIs
Publication statusPublished - 18 Sept 2024
Event9th International Conference on Cyber Security, Privacy in Communication Networks, ICCS 2023 - Cardiff, United Kingdom
Duration: 9 Dec 202310 Dec 2023

Publication series

NameLecture Notes in Networks and Systems
Volume1032 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference9th International Conference on Cyber Security, Privacy in Communication Networks, ICCS 2023
Country/TerritoryUnited Kingdom
CityCardiff
Period9/12/2310/12/23

Keywords

  • Detection method
  • IDS
  • IPS
  • Validation framework

Cite this