A survey of anomaly detection in industrial wireless sensor networks with critical water system infrastructure as a case study
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Authors
Ramotsoela, Daniel
Abu-Mahfouz, Adnan Mohammed
Hancke, Gerhard P.
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI Publishing
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.
Description
Keywords
Industrial informatics, Industrial sensor network, Cyber-physical systems, Critical infrastructure, Water monitoring, Network security, Water infrastructure, Security challenges, Network security protocols, Monitoring and control, Embedded systems, Intrusion detection, Learning systems, Network protocols, Public works, Surveys, Wireless sensor network (WSN), Industrial informatics, Industrial sensor, Industrial wireless sensor networks (IWSN)
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Citation
Ramotsoela, D., Abu-Mahfouz, A. & Hancke, G. 2018, 'A survey of anomaly detection in industrial wireless sensor networks with critical water system infrastructure as a case study', Sensors, vol. 18, art. 2491, pp. 1-24.