Location Secrecy Enhancement in Adversarial Networks via Trajectory Control

In networked environments, adversaries may exploit location information to perform carefully crafted attacks on cyber-physical systems (CPS). To prevent such security breaches, this letter develops a network localization and navigation (NLN) paradigm that accounts for network secrecy in the control of mobile agents. We consider a scenario in which a mobile agent is tasked with maneuvering through an adversarial network, based on a nominal control policy, and we aim to reduce the ability of the adversarial network to infer the mobile agent's position. Specifically, the Fisher information of the agent's position obtained by the adversarial network is adopted as a secrecy metric. We propose a new control policy that results from an optimization problem and achieves a compromise between maximizing location secrecy and minimizing the deviation from the nominal control policy. Results show that the proposed optimization-based control policy significantly improves the secrecy of the mobile agent.

Automated summary

This paper investigates how adversaries exploit location information to attack cyber-physical systems in networked environments. To prevent security breaches, a network localization and navigation (NLN) method is proposed, taking network secrecy into account in the control of mobile agents. The results show that the optimized control policy significantly improves the secrecy of the mobile agent.