Intrusion prediction systems

Mohamed Abdlhamed*, Kashif Kifayat, Qi Shi, William Hurst

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

14 Citations (Scopus)

Abstract

In recent years, cyberattacks have increased rapidly in huge volumes and diversity. Despite the existence of advanced cyber-defence systems, attacks and intrusions still occur. Defence systems tried to block previously known attacks, stop ongoing attacks and detect occurred attacks. However, often the damage caused by an attack is catastrophic. Consequently, the need for improved intrusion detection systems and proposed robust prediction system is more urgent these days. In this chapter, we investigate the intrusion prediction systems to show the need for such system, the insufficiency of the current intrusion detection systems and how prediction will improve the security capabilities for defence systems. A survey of intrusion prediction systems in cybersecurity, the concepts of work and methods used in these systems is presented.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages155-174
Number of pages20
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume691
ISSN (Print)1860-949X

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