Function-Aware Anomaly Detection Based on Wavelet Neural Network for Industrial Control Communication
Joint Authors
Wan, Ming
Song, Yan
Jing, Yuan
Wang, Junlu
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Function control, which is an essential link in industrial automation, is undergoing a growing integration with ICTs (Information Communication Technologies) because of the flexible manufacturing and convenient interoperability in CPSs (Cyber-Physical Systems).
However, it has also brought the increasing dangers of cyberattacks caused by malicious or intentional industrial process control exploitations.
In order to effectively detect these cyber intrusions and anomalies, this paper proposes a function-aware anomaly detection approach based on WNN (Wavelet Neural Network), which perceives the abnormal function control changes in industrial control communication.
By appropriately extracting the time-related function control characteristics from industrial communication packets, this approach builds an optimized wavelet neural network to model the normal function control behaviors and calculates the detection threshold to differentiate the aberrant industrial process control activities.
Additionally, a real-world control system, whose communication protocol is Modbus/TCP, is simulated to furnish the analyzed function control data.
According to the experimental results, we fully demonstrate this approach has the fine detection accuracy and adequate real-time capability.
American Psychological Association (APA)
Wan, Ming& Song, Yan& Jing, Yuan& Wang, Junlu. 2018. Function-Aware Anomaly Detection Based on Wavelet Neural Network for Industrial Control Communication. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1214195
Modern Language Association (MLA)
Wan, Ming…[et al.]. Function-Aware Anomaly Detection Based on Wavelet Neural Network for Industrial Control Communication. Security and Communication Networks No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1214195
American Medical Association (AMA)
Wan, Ming& Song, Yan& Jing, Yuan& Wang, Junlu. Function-Aware Anomaly Detection Based on Wavelet Neural Network for Industrial Control Communication. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1214195
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214195