Fadi Farha

TL;DR: This review introduces the reader to the overall framework of smart gas sensing technology, including three key points; gas sensor arrays made of different materials, signal processing for drift compensation and feature extraction, and gas pattern recognition including Support Vector Machine (SVM), Artificial Neural Network (ANN), and other techniques.

TL;DR: A conceptual human-in-the-loop intelligence cyber security model is presented based on the existing literature on the applications of AI in user access authentication, network situation awareness, dangerous behavior monitoring, and abnormal traffic identification.

TL;DR: Considering the development of IoT technologies, potential security and privacy challenges that IoT objects may face in the pervasive computing environment are summarized and possible directions for dealing with these challenges are pointed out.

TL;DR: In this article, the authors discuss the role of IoT in social relationships management, the problem of social relationships explosion in IoT, and review the proposed solutions using ASI, including social-oriented machine-learning and deep-learning techniques.

TL;DR: A lightweight, robust static random access memory (SRAM)-PUF-based entity authentication scheme to guarantee that the accessed end devices are trustable and can efficiently authenticate resources-constrained IoT devices with a low computation overhead and small memory capacity is proposed.