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Sensors 2018, 18(8), 2491; https://doi.org/10.3390/s18082491

A Survey of Anomaly Detection in Industrial Wireless Sensor Networks with Critical Water System Infrastructure as a Case Study

1
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa
2
Council for Scientific and Industrial Research (CSIR), Pretoria 0184, South Africa
3
Department of Computer Science, City University of Hong Kong, Hong Kong, China
*
Author to whom correspondence should be addressed.
Received: 6 June 2018 / Revised: 16 July 2018 / Accepted: 17 July 2018 / Published: 1 August 2018
(This article belongs to the Special Issue Smart Industrial Wireless Sensor Networks)
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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. View Full-Text
Keywords: industrial informatics; industrial sensor network; cyber-physical systems; critical infrastructure; water monitoring industrial informatics; industrial sensor network; cyber-physical systems; critical infrastructure; water monitoring
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Ramotsoela, D.; Abu-Mahfouz, A.; Hancke, G. A Survey of Anomaly Detection in Industrial Wireless Sensor Networks with Critical Water System Infrastructure as a Case Study. Sensors 2018, 18, 2491.

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