A system for intrusion prediction in cloud computing

Mohamed Abdlhamed, Kashif Kifayat, Qi Shi, William Hurst

Research output: Chapter in Book/Report/Conference proceedingConference paper

5 Citations (Scopus)

Abstract

Modern critical infrastructures have to process significantly large data sets. Intrusion-detection systems and unified threat management systems have the role of keeping critical infrastructures secure against cyber-attacks. However, in the world of big data, these systems are struggling to cope with overload and often become the bottle neck in the data network. To overcome this, our research investigates the use of deploying intrusion-detection and intrusion-prediction techniques in a cloud environment. Consequently, in this paper, a survey of existing intrusion-detection systems is presented and a discussion on how their deployment can enhance current security techniques in a cloud computing environment is put forward. A novel technique for intrusion prediction system is also put forward in this paper. Predictive statistical methods are used for proving the concepts put forward. The initial results show the necessity for using evolving statistical methods in prediction solutions; and the insufficiency of 'single-technique models' for building general solutions to predict intrusions. Furthermore, as this research shows, the concept of integrating multiple methods, such as game theory concepts and risk assessment methods, facilitates the development of a more efficient prediction model.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016
EditorsLyamine Guezouli, Homero Toral Cruz, Faouzi Hidoussi, Djallel Eddine Boubiche, Ahcene Bounceur
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450340632
DOIs
Publication statusPublished - 22 Mar 2016
Externally publishedYes
EventInternational Conference on Internet of Things and Cloud Computing, ICC 2016 - Cambridge, United Kingdom
Duration: 22 Mar 201623 Mar 2016

Publication series

NameACM International Conference Proceeding Series
Volume22-23-March-2016

Conference

ConferenceInternational Conference on Internet of Things and Cloud Computing, ICC 2016
CountryUnited Kingdom
CityCambridge
Period22/03/1623/03/16

Keywords

  • Cloud computing
  • Cyber-attack
  • Intrusion prediction
  • Security

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