Improving the Detection Rate of Cosine Similarity detector in False Data Injection Attacks in Control Systems

Manchuri, Yeswanth and Khan, Mohammed Zafar Ali (2018) Improving the Detection Rate of Cosine Similarity detector in False Data Injection Attacks in Control Systems. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Cyber Physical Systems are more vulnerable to attacks than the conventional systems because of the integrated nature of the cyber as well as physical environment.Replay attacks and False data injection attacks are in particular harmful because of their deceptive nature to traditional detectors. A popular traditional detector is Chi Square Detector which detects based on the statistics of devi- ations of the residual i.e. di�erence of observed measurement and estimated measurement. Since the statistics is not changed in the attacks mentioned above, Chi square detector fails to detect these. However, the Cosine detector proposed by [1] also fails in detecting these attacks in control system scenario. So in this work, we will show why the cosine detector fails to detect them and design a method to improve the detection rate of the Cosine Detector. v

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IITH Creators:
IITH CreatorsORCiD
Khan, Mohammed Zafar AliUNSPECIFIED
Item Type: Thesis (Masters)
Uncontrolled Keywords: Cosine Similarity, False Data, Attack
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 29 Jun 2018 09:41
Last Modified: 31 Jul 2019 09:33
URI: http://raiith.iith.ac.in/id/eprint/4099
Publisher URL:
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