In recent years, several research studies have investigated the identification of electronic
devices through their physical components and properties, both from a theoretical point of …

The wireless physical-layer identification (WPLI) techniques utilize the unique features of the
physical waveforms of wireless signals to identify and classify authorized devices. As the …

Cyber-security threats and issues have been exponentially increasing over the last two
decades, including in cognitive radio networks. These attacks and vulnerabilities negatively …

In this paper, we propose a privacy-preserving proximity-based security system for location-
based services in wireless networks, without requiring any pre-shared secret, trusted …

Spectrum sensing in a large-scale heterogeneous network is very challenging as it usually
requires a large number of static secondary users (SUs) to obtain the global spectrum states …

Securing Internet of Things is a challenge because of its multiple points of vulnerability. In
particular, Distributed Denial of Service (DDoS) attacks on IoT devices pose a major security …

The spectrum sensing scheme suffers from a physical layer attack of Primary User Emulation
Attack (PUEA). The resolution is to mitigate the cognitive radio user from the PUEA under the …

With the superior capability of discovering intricate structure of large data sets, deep learning
has been widely applied in various areas including wireless networking. While existing deep …

Cognitive radio based cooperative spectrum sensing (CSS) is severely affected when some
secondary users maliciously attack it. Two attacks regarded as key adversaries to the …

Cognitive radio is an intelligent and adaptive radio that improves the utilization of the
spectrum by its opportunistic sharing. However, it is inherently vulnerable to primary user …