Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …

Recent trends in emerging applications have motivated researchers to design advanced
wireless systems to meet their evolving requirements. These emerging applications include …

Due to the openness of wireless channels, wireless communication is vulnerable to be
eavesdropped, which results in confidential information leakage. Physical-layer security …

The convergence of Edge Computing (EC) and Machine Learning (ML), known as Edge
Machine Learning (EML), has become a highly regarded research area by utilizing …

Cooperative energy harvesting wireless sensor networks (EH‐WSNs) using energy‐
harvesting‐based physical layer security (PLS) appears to be a promising way to meet …

Physical layer security (PLS) is a promising technology to secure wireless communications
by exploiting the physical properties of the wireless channel. However, the passive nature of …

Wireless signals, ubiquitous and capable of penetrating obstacles, are increasingly
exploited to infer personal information such as vital signs, human activities, and crowd …

Sensitive numbers play an unparalleled role in identification and authentication. Recent
research has revealed plenty of side-channel attacks to infer keystrokes. The common idea …

Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered
Strategies by Tao Hou A dissertation Page 1 Securing Critical Cyber Infrastructures and …

Householders have widely used IoT security systems with the development of smart home
applications. Wireless security cameras are integral components of IoT security systems …