Eavesdropping Attack

Eavesdropping attacks exploit vulnerabilities in various communication systems to intercept sensitive information, focusing on circumventing security measures and extracting data without authorization. Current research emphasizes developing and analyzing these attacks across diverse platforms, including smart home devices, video displays (via electromagnetic emanations), and wireless networks, employing techniques like deep learning for signal processing and reconstruction, and graph neural networks for optimized resource allocation to mitigate such attacks. This research is crucial for enhancing the security and privacy of modern communication technologies, impacting both the development of robust countermeasures and the understanding of potential vulnerabilities in increasingly interconnected systems.