A Search-Based Approach to Identifying Jamming Attacks and Defense Policies in Wireless Networked Control

Ahmet Cetinkaya, Paolo Arcaini, Hideaki Ishii, Tomohisa Hayakawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

State-dependent attack and defense mechanisms in a wireless networked control system are investigated. The controller in this system attempts to transmit control commands to a remotely located plant by using a wireless channel that is subject to jamming attacks from an adversary. The probability of a failure on this channel depends on the powers of both the transmission signal emitted from the controller and the jamming interference signal emitted from the attacker. We show that if the power levels of transmissions from the controller are consistently above a threshold and the average power level of the jamming interference is sufficiently small, then the networked control system is guaranteed to be almost surely asymptotically stable. However, it is hard to analytically derive optimal attack and defense policies due to the complexity of the wireless channel model. To find out potentially dangerous attacks and high-performance defense policies, we propose a search-based approach and utilize genetic algorithms. Specifically, by considering Voronoi partitions of the state space, we find attack policies that achieve large quadratic costs. We use the search-based approach also for designing defense policies, where the controller adjusts the power of the transmission signal based on the plant's state information. The efficacy of the proposed approach is demonstrated through a number of simulation-based experiments.

本文言語English
ホスト出版物のタイトル2020 59th IEEE Conference on Decision and Control, CDC 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ5717-5724
ページ数8
ISBN(電子版)9781728174471
DOI
出版ステータスPublished - 2020 12月 14
外部発表はい
イベント59th IEEE Conference on Decision and Control, CDC 2020 - Virtual, Jeju Island, Korea, Republic of
継続期間: 2020 12月 142020 12月 18

出版物シリーズ

名前Proceedings of the IEEE Conference on Decision and Control
2020-December
ISSN(印刷版)0743-1546
ISSN(電子版)2576-2370

Conference

Conference59th IEEE Conference on Decision and Control, CDC 2020
国/地域Korea, Republic of
CityVirtual, Jeju Island
Period20/12/1420/12/18

ASJC Scopus subject areas

  • 制御およびシステム工学
  • モデリングとシミュレーション
  • 制御と最適化

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