The Byzantine attack in cooperative spectrum sensing (CSS), also known as the spectrum
sensing data falsification (SSDF) attack in the literature, is one of the key adversaries to the …

Spectrum frequency is a valuable resource for wireless communication but very limited in its
availability. Due to the extensive use and ever increasing demand of spectrum bands by …

Mobile crowdsensing (MCS) is vulnerable to faked sensing attacks, as selfish smartphone
users sometimes provide faked sensing results to the MCS server to save their sensing costs …

Machine learning finds rich applications in Internet of Things (IoT) networks such as
information retrieval, traffic management, spectrum sensing, and signal authentication. While …

Machine learning techniques are becoming mainstream in intrusion detection systems as
they allow real-time response and have the ability to learn and adapt. By using a …

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was
inspired by recent developments in the fields of reinforcement learning (RL) and cyber …

Remote monitoring is the process that monitors and observes information from a distance
utilizing sensors or electronic types of equipment. Remote monitoring is used in real-time …

With the proliferation of sensor-rich mobile devices, crowd sensing has emerged as a new
paradigm of collecting information from the physical world. However, the sensory data …

Defense strategies have been well studied to combat Byzantine attacks that aim to disrupt
cooperative spectrum sensing by sending falsified versions of spectrum sensing data to a …

In this paper, the non-orthogonal multiple access (NOMA) technology is integrated into
cognitive orthogonal frequency-division multiplexing (OFDM) systems, called cognitive …