Integrated sensing and communication (isac) paradigm has increasingly attracted attention due to the benefits on having both functionalities, communication and sensing, operating over the same resources. However, sensing-based services and operations raise critical concerns regarding privacy. Indeed, guaranteeing the privacy of sensing data has emerged as a critical concern. Any potential vulnerability in this regard could open issues with unauthorized access and leakage of sensitive information. Consequently, ensuring robust privacy protections is highly important for the design of isac systems.

This thesis analyses privacy vulnerabilities in a multi-static isac system im- plemented in a cell-free massive multiple-input multiple-output (mimo) infras- tructure. Particularly, isac systems need balancing the often competing demands of sensing, communication, and privacy considerations. Specifically, the thesis examines the capability of an internal adversary of infering target location infor- mation from received signals, a scenario with critical security implications. To mitigate such risks, this study analyzes the conditions and scenarios where this risk has the greatest impact. Thus, this study aims at providing insights for future privacy-preserving design of isac.