Device Fingerprinting to Enhance Wireless Security using Nonparametric Bayesian Method

Each wireless device has its unique fingerprint, which can be utilized for device identification and intrusion detection. Most existing literature employs supervised learning techniques and assumes the number of devices is known. In this paper, based on device-dependent channel-invariant radiometries, we propose a non-parametric Bayesian method to detect the number of devices as well as classify multiple devices in a unsupervised passive …