The loT (Internet of things) is emerging as a wide variety of devices are attached to the
Internet to support ubiquitous and pervasive sensing and computing, home automation, and …

Graph robustness metrics have been used largely to study the behavior of communication
networks in the presence of targeted attacks and random failures. Several researchers have …

Developing a long‐lasting, secure Industry 4.0 system presents a significant challenge for
businesses and other interested parties. Industrial control systems (ICSs) are particularly …

The concepts of robustness and resilience are used with increasing frequency from different
sectors. The literature review reveals several meanings for each of these terms due probably …

Decentralized algorithms have gained substantial interest owing to advancements in cloud
computing, Internet of Things (IoT), intelligent transportation networks, and parallel …

The second smallest eigenvalue of the Laplacian matrix, also known as the algebraic
connectivity, characterizes the performance of some dynamic processes on networks, such …

Computer networks serve as critical infrastructure to services in business, health care, and
education. Targeted attacks and random failures may cause link or node removals, which in …

Algebraic connectivity, the second smallest eigenvalue of the graph Laplacian matrix, is a
fundamental performance measure in various network systems, such as multi-agent …

Optical networks are vulnerable to failures due to targeted attacks or large-scale disasters.
The recoverability of optical networks refers to the ability of an optical network to return to a …

Virtualization of wireless sensor networks (WSN) is widely considered as a foundational
block of edge/fog computing, which is a key technology that can help realize next-generation …