Enhanced cyber-physical security using attack-resistant cyber nodes and event-triggered moving target defence
File(s)cps2.12002.pdf (1.05 MB)
Published version
OA Location
Author(s)
Higgins, Martin
Mayes, Keith
Teng, Fei
Type
Journal Article
Abstract
A cyber‐physical authentication strategy to protect power system infrastructure against false data injection (FDI) attacks is outlined. The authors demonstrate that it is feasible to use small, low‐cost, yet highly attack‐resistant security chips as measurement nodes, enhanced with an event‐triggered moving target defence (MTD), to offer effective cyber‐physical security. At the cyber layer, the proposed solution is based on the MULTOS Trust‐Anchor chip, using an authenticated encryption protocol, offering cryptographically protected and chained reports at up to 12/s. The availability of the Trust‐Anchors allows the grid controller to delegate aspects of passive anomaly detection, supporting local as well as central alarms. In this context, a distributed event‐triggered MTD protocol is implemented at the physical layer to complement cyber side enhancement. This protocol applies a distributed anomaly detection scheme based on Holt‐Winters seasonal forecasting in combination with MTD implemented via inductance perturbation. The scheme is shown to be effective at preventing or detecting a wide range of attacks against power system measurement system.
Date Issued
2021-03-10
Date Acceptance
2020-12-23
Citation
IET Cyber-Physical Systems: Theory & Applications, 2021, 6 (1), pp.12-26
ISSN
2398-3396
Publisher
WILEY
Start Page
12
End Page
26
Journal / Book Title
IET Cyber-Physical Systems: Theory & Applications
Volume
6
Issue
1
Copyright Statement
© 2021 The Authors. IET Cyber‐Physical Systems: Theory & Applications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000627912900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Engineering, Electrical & Electronic
Computer Science
Engineering
STATE ESTIMATION
Publication Status
Published
Date Publish Online
2021-03-10