Ethical Applications of the Invisible Identity in Wireless Device with Radio Frequency Fingerprint

Abstract

Wireless devices are ubiquitous in modern society, ranging from personal computers and smartphones to smart appliances. As these devices communicate, they emit radio frequency (RF) signals that are unique to each device due to inherent hardware imperfections. By analyzing these signals, it is possible to identify individual devices, known as Radio Frequency Fingerprint (RFF). This paper presents an application-oriented view of RFF technology, from its technical foundation to extraction techniques (signal parts, extraction processes, and application conditions), and explores potential use cases. We highlight promising scenarios where RFF can enhance the security and functionality of wireless systems with various sensing applications. Importantly, we discuss the ethical implications of RFF, which can be used to violate individual privacy, emphasizing the need for responsible development and deployment. Eventually, we identify ongoing challenges such as replicability, interpretability, dynamic wireless channels, and modulation schemes; addressing these is essential to unlocking the full potential of RFF in future wireless communication systems.