针对窃听攻击的分布式状态估计的零决定因素策略
Yan Yu1, Wen Yang1, Jialing Chen1
1Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai 200237, China.
Chaos (Woodbury, N.Y.)
|December 2, 2024
概括
分布式网络中的传感器面临着窃听者的安全风险. 这项研究使用游戏理论和零决定因素 (ZD) 政策对传感器进行战略管理数据加密,并保护隐私免受能源限制的对手.
科学领域:
- 网络安全 网络安全
- 分布式系统 分布式系统
- 游戏理论 游戏理论
背景情况:
- 无线传感器网络传输状态估计,冒着窃听者拦截的风险.
- 数据加密耗费大量能量,迫使功率有限的传感器选择何时加密.
- 窃听者也面临能源限制,影响他们的拦截策略.
研究的目的:
- 提出一种游戏理论方法来解决分布式状态估计中的安全困境.
- 引入使用零决定因素 (ZD) 政策的防御策略,以加强数据隐私.
- 分析传感器的最佳策略,以最大限度地提高它们的效用,同时最大限度地减少窃听者的回报.
主要方法:
- 模拟传感器和窃听者之间的互动作为一个代游戏.
- 应用零决定因素 (ZD) 策略来保护道和节点数据.
- 分析传感器策略,单方面控制窃听者的回报和相关性.
主要成果:
- 传感器可以使用ZD策略单方面设置窃听者预期的回报.
- ZD政策使传感器能够强迫与自己预期的回报产生正相关性.
- 分析了最佳的传感器策略,以最大限度地提高效用,而不考虑窃听者的行为.
结论:
- 建议的游戏理论方法和ZD政策为分布式状态估计提供了有效的防御机制.
- 传感器可以从战略上平衡加密与安全风险的能源消耗.
- 数字模拟验证了开发的防御策略的可行性和有效性.
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