A survey of anomaly detection in industrial wireless sensor networks with critical water system infrastructure as a case study

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Article number2491
Journal / PublicationSensors (Switzerland)
Volume18
Issue number8
Online published1 Aug 2018
Publication statusPublished - Aug 2018

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Abstract

The increased use of Industrial Wireless Sensor Networks (IWSN) in a variety of different applications, including those that involve critical infrastructure, has meant that adequately protecting these systems has become a necessity. These cyber-physical systems improve the monitoring and control features of these systems but also introduce several security challenges. Intrusion detection is a convenient second line of defence in case of the failure of normal network security protocols. Anomaly detection is a branch of intrusion detection that is resource friendly and provides broader detection generality making it ideal for IWSN applications. These schemes can be used to detect abnormal changes in the environment where IWSNs are deployed. This paper presents a literature survey of the work done in the field in recent years focusing primarily on machine learning techniques. Major research gaps regarding the practical feasibility of these schemes are also identified from surveyed work and critical water infrastructure is discussed as a use case.

Research Area(s)

  • Critical infrastructure, Cyber-physical systems, Industrial informatics, Industrial sensor network, Water monitoring

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