Leandros A. Maglaras

TL;DR: A survey of deep learning approaches for cyber security intrusion detection, the datasets used, and a comparative study to evaluate the efficiency of several methods are presented.

TL;DR: This paper provides an overview of existing security and privacy concerns, particularly for the fog computing, and highlights ongoing research effort, open challenges, and research trends in privacy and security issues for fog computing.

TL;DR: A comprehensive survey of the existing blockchain protocols for the Internet of Things (IoT) networks is presented in this article, where the authors provide a classification of threat models, which are considered by blockchain protocols in IoT networks, into five main categories, namely identity-based attacks, manipulation based attacks, cryptanalytic attacks, reputation based attacks and service based attacks.

TL;DR: A comprehensive survey of the existing blockchain protocols for the Internet of Things (IoT) networks and a side-by-side comparison of the state-of-the-art methods toward secure and privacy-preserving blockchain technologies with respect to the blockchain model.

TL;DR: In this article, a comprehensive review of emerging technologies for the internet of things (IoT)-based smart agriculture is presented, including unmanned aerial vehicles, wireless technologies, open-source IoT platforms, software defined networking (SDN), network function virtualization (NFV), cloud/fog computing, and middleware platforms.