摘要
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.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 2024 Chinese Intelligent Systems Conference |
| 编辑 | Yingmin Jia, Weicun Zhang, Yongling Fu, Huihua Yang |
| 出版商 | Springer Science and Business Media Deutschland GmbH |
| 页 | 494-502 |
| 页数 | 9 |
| ISBN(印刷版) | 9789819786572 |
| DOI | |
| 出版状态 | 已出版 - 2024 |
| 活动 | 20th Chinese Intelligent Systems Conference, CISC 2024 - Guilin, 中国 期限: 26 10月 2024 → 27 10月 2024 |
出版系列
| 姓名 | Lecture Notes in Electrical Engineering |
|---|---|
| 卷 | 1285 LNEE |
| ISSN(印刷版) | 1876-1100 |
| ISSN(电子版) | 1876-1119 |
会议
| 会议 | 20th Chinese Intelligent Systems Conference, CISC 2024 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Guilin |
| 时期 | 26/10/24 → 27/10/24 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
-
可持续发展目标 9 产业、创新和基础设施
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