Deep learning-based elderly gender classification using Doppler radar

Integrated Sensing and Communications: Recent Advances and Ten Open Challenges

“…However, due to the open nature of the wireless sensing medium, the sensing services incur potential security risks and privacy issues [132]. Specifically, malicious entities may overhear the CSI of the targets that itself may be confidential target-related information [123]. Malicious agents may also misuse localization information [119], [120] as well as the information they inferred concerning target movements [123].…”

“…Specifically, malicious entities may overhear the CSI of the targets that itself may be confidential target-related information [123]. Malicious agents may also misuse localization information [119], [120] as well as the information they inferred concerning target movements [123]. As a result, those malicious entities may become capable of breaching the users' privacy, or of contaminating the legitimate reception.…”

“…The authors of [121] proposed to apply a so-called CSI "fuzzer" to enhance the privacy of WiFi CSI applications. On the other hand, although wireless sensing is capable of potentially avoiding the direct leakage of the targets' images relying on visual acquisition [123], the channel impulse response might also contain private information concerning the targets, such as peoples' movement in human action sensing [131]. Recent advances have revealed for example optimal pilot designs conceived for eavesdropping-resistant channel estimation [122], as a potential solution for protecting the security of sensing services.…”

“…• Secure ISAC [117], [118] • Radar privacy protection in shared spectrum scenarios [119], [120] • WiFi sensing security [121] • Optimal pilots for anti-eavesdropping [122] • Actual face protection by Doppler radar [123] • Information theory perspective • Leakage reduce in PHY layer • Access control in MAC layer ♣ How could we achieve MOMT recognition by relying on wireless signals?…”