Abstract
In this paper, the problem of designing uniformly optimal innovation-based attacks against χ2 detectors is investigated. In the existing researches, the attack performance is usually improved by extending the attack form. Differently, this paper focuses on improving the attack performance by optimizing the bound of the stealthiness constraints. Then the optimal attack scheme is obtained by solving the non-convex optimization problem. Accordingly, the tradeoff between the attack performance and the alarm rate has been provided and the uniformly optimal attack scheme has been derived. Finally, simulation results are provided to demonstrate the feasibility and effectiveness of the proposed strategy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2024 Chinese Intelligent Systems Conference |
| Editors | Yingmin Jia, Weicun Zhang, Yongling Fu, Huihua Yang |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 494-502 |
| Number of pages | 9 |
| ISBN (Print) | 9789819786572 |
| DOIs | |
| State | Published - 2024 |
| Event | 20th Chinese Intelligent Systems Conference, CISC 2024 - Guilin, China Duration: 26 Oct 2024 → 27 Oct 2024 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 1285 LNEE |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Conference
| Conference | 20th Chinese Intelligent Systems Conference, CISC 2024 |
|---|---|
| Country/Territory | China |
| City | Guilin |
| Period | 26/10/24 → 27/10/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Alarm rate
- Attack performance
- Cyber-physical systems (CPSs)
- Innovation-based attack
- χ detector
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