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Security and Communication Networks
Volume 2017, Article ID 9602357, 12 pages
https://doi.org/10.1155/2017/9602357
Research Article

F-DDIA: A Framework for Detecting Data Injection Attacks in Nonlinear Cyber-Physical Systems

1Department of Computer Science, University of Hong Kong, Pokfulam Road, Hong Kong
2Peking University, Beijing, China

Correspondence should be addressed to Jingxuan Wang; moc.liamg@nauxgnijgnawgnokgnoh

Received 10 April 2017; Accepted 7 June 2017; Published 10 August 2017

Academic Editor: Leo Y. Zhang

Copyright © 2017 Jingxuan Wang et al. 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.

How to Cite this Article

Jingxuan Wang, Lucas C. K. Hui, S. M. Yiu, Gang Zhou, and Ruoqing Zhang, “F-DDIA: A Framework for Detecting Data Injection Attacks in Nonlinear Cyber-Physical Systems,” Security and Communication Networks, vol. 2017, Article ID 9602357, 12 pages, 2017. https://doi.org/10.1155/2017/9602357.