False Data Injection Attacks on Sensor Systems
Article No.: 10, Pages 1 - 5
Abstract
False data injection attacks on sensor systems are an emerging threat to cyberphysical systems, creating significant risks to all application domains and, importantly, to critical infrastructures. Cyberphysical systems are process-dependent leading to differing false data injection attacks that target disruption of the specific processes (plants). We present a taxonomy of false data injection attacks, using a general model for cyberphysical systems, showing that global and continuous attacks are extremely powerful. In order to detect false data injection attacks, we describe three methods that can be employed to enable effective monitoring and detection of false data injection attacks during plant operation. Considering that sensor failures have equivalent effects to relative false data injection attacks, the methods are effective for sensor fault detection as well.
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Index Terms
- False Data Injection Attacks on Sensor Systems
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Published In
October 2022
1467 pages
ISBN:9781450392174
DOI:10.1145/3508352
- Conference Chair:
- Tulika Mitra,
- Program Chairs:
- Evangeline Young,
- Jinjun Xiong
Copyright © 2022 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- IEEE CAS
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Association for Computing Machinery
New York, NY, United States
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Published: 22 December 2022
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ICCAD '22
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ICCAD '22: IEEE/ACM International Conference on Computer-Aided Design
October 30 - November 3, 2022
California, San Diego
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Overall Acceptance Rate 457 of 1,762 submissions, 26%
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