dc.contributor.author |
Ramotsoela, D
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dc.contributor.author |
Abu-Mahfouz, Adnan MI
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dc.contributor.author |
Hancke, GP
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dc.date.accessioned |
2019-01-16T11:15:37Z |
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dc.date.available |
2019-01-16T11:15:37Z |
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dc.date.issued |
2018-08 |
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dc.identifier.citation |
Ramotsoela, D., Abu-Mahfouz, A.M.I. and Hancke, G.P. 2018. A survey of anomaly detection in Industrial Wireless Sensor Networks with critical water system infrastructure as a case study. Sensors, vol. 18(8): doi:10.3390/s18082491 |
en_US |
dc.identifier.issn |
1424-8220 |
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dc.identifier.uri |
https://doi.org/10.3390/s18082491
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dc.identifier.uri |
https://www.mdpi.com/1424-8220/18/8/2491
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dc.identifier.uri |
http://hdl.handle.net/10204/10617
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dc.description |
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). |
en_US |
dc.description.abstract |
The increased use of IndustrialWireless 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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
MDPI |
en_US |
dc.relation.ispartofseries |
Worklist;21758 |
|
dc.subject |
Industrial informatics |
en_US |
dc.subject |
Industrial sensor network |
en_US |
dc.subject |
Cyber-physical systems |
en_US |
dc.subject |
Critical infrastructure |
en_US |
dc.subject |
Water monitoring |
en_US |
dc.title |
A survey of anomaly detection in Industrial Wireless Sensor Networks with critical water system infrastructure as a case study |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Ramotsoela, D., Abu-Mahfouz, A. M., & Hancke, G. (2018). A survey of anomaly detection in Industrial Wireless Sensor Networks with critical water system infrastructure as a case study. http://hdl.handle.net/10204/10617 |
en_ZA |
dc.identifier.chicagocitation |
Ramotsoela, D, Adnan MI Abu-Mahfouz, and GP Hancke "A survey of anomaly detection in Industrial Wireless Sensor Networks with critical water system infrastructure as a case study." (2018) http://hdl.handle.net/10204/10617 |
en_ZA |
dc.identifier.vancouvercitation |
Ramotsoela D, Abu-Mahfouz AM, Hancke G. A survey of anomaly detection in Industrial Wireless Sensor Networks with critical water system infrastructure as a case study. 2018; http://hdl.handle.net/10204/10617. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Ramotsoela, D
AU - Abu-Mahfouz, Adnan MI
AU - Hancke, GP
AB - The increased use of IndustrialWireless 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.
DA - 2018-08
DB - ResearchSpace
DP - CSIR
KW - Industrial informatics
KW - Industrial sensor network
KW - Cyber-physical systems
KW - Critical infrastructure
KW - Water monitoring
LK - https://researchspace.csir.co.za
PY - 2018
SM - 1424-8220
T1 - A survey of anomaly detection in Industrial Wireless Sensor Networks with critical water system infrastructure as a case study
TI - A survey of anomaly detection in Industrial Wireless Sensor Networks with critical water system infrastructure as a case study
UR - http://hdl.handle.net/10204/10617
ER -
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en_ZA |