Cooperative ISAC Under Spoofing Attacks

Recent studies have demonstrated the vulnerability of integrated sensing and communication (ISAC) systems to jamming and spoofing attacks, particularly in scenarios involving single radar systems. However, cooperation among networked sensors can enhance localization accuracy and mitigate such attacks by exploiting spatial consistency. This paper develops a theoretical framework based on the mismatched Cramér-Rao lower bound (MCRLB) to quantify the impact of spoofing on localization performance within cooperative ISAC networks. We examine how varying attack intensities and deployment configurations influence system resilience. Our analysis reveals that cooperative processing significantly reduces localization errors, highlighting the robustness of distributed sensing architectures against adversarial interference.