Wi-Fi信号可“隔墙识人”

Core Insights - A new study reveals a concerning surveillance threat where attackers can identify individuals through existing Wi-Fi signals, even if devices are turned off or not connected [1][2][3] Group 1: Technology and Methodology - The technology relies on beamforming feedback signals sent from devices to routers, which are unencrypted and can be intercepted by malicious actors [2] - By analyzing how these signals change due to human movement and posture, attackers can construct movement profiles to identify specific individuals [2] - This method does not require expensive or specialized equipment, making it more accessible for potential attackers [2] Group 2: Privacy Risks - In an experiment with 197 participants, the identification accuracy reached nearly 100% within seconds of signal analysis, highlighting significant privacy risks [3] - The ability to track individuals without their knowledge poses a serious threat to personal privacy [3] Group 3: Implications for Standards and Regulations - The study emphasizes the need for updated technology standards and regulations to protect privacy as Wi-Fi networks become ubiquitous [4] - Future Wi-Fi standards should incorporate privacy protection mechanisms, such as data encryption and access controls, to safeguard users while enjoying technological benefits [4]