论文标题
在安全性动态系统中的安全性与隐私权衡方面
On a Security vs Privacy Trade-off in Interconnected Dynamical Systems
论文作者
论文摘要
我们研究了互连系统的安全问题，每个子系统旨在使用局部测量和与相邻子系统交换的信息检测本地攻击。子系统还希望维护其国家的隐私，因此，使用与其他子系统共享有限或嘈杂信息的隐私机制。我们根据子系统状态的估计误差量化隐私级别，并提出了一个新颖的框架，以根据其隐私保证来比较不同的机制。我们在不假设全球动态知识的情况下开发了局部攻击检测方案，该动态使用本地和共享信息来检测具有可证明保证的攻击。此外，我们量化了本地子系统的安全性和隐私之间的权衡。有趣的是，我们表明，对于攻击的某些情况，子系统可以通过更私人来实现更好的检测性能。我们为这种违反直觉行为提供了解释，并通过数值示例说明了我们的结果。
We study a security problem for interconnected systems, where each subsystem aims to detect local attacks using local measurements and information exchanged with neighboring subsystems. The subsystems also wish to maintain the privacy of their states and, therefore, use privacy mechanisms that share limited or noisy information with other subsystems. We quantify the privacy level based on the estimation error of a subsystem's state and propose a novel framework to compare different mechanisms based on their privacy guarantees. We develop a local attack detection scheme without assuming the knowledge of the global dynamics, which uses local and shared information to detect attacks with provable guarantees. Additionally, we quantify a trade-off between security and privacy of the local subsystems. Interestingly, we show that, for some instances of the attack, the subsystems can achieve a better detection performance by being more private. We provide an explanation for this counter-intuitive behavior and illustrate our results through numerical examples.
