Due to the great advancement in computation, communication, and control technologies, the
Internet of Things (IoT) can provide ubiquitous connectivity for anyone and anything at any …

The complexity of next-generation industrial cyber-physical systems (NG-ICPS) is increasing
due to the integration of machine-embedded sensors, cyber-infrastructure, and physical …

In recent decades, the rapid advances in information technology have promoted a
widespread deployment of medical cyber-physical systems (MCPS), especially in the area of …

Self-supervised learning has considerably improved video representation learning by
discovering supervisory signals automatically from unlabeled videos. However, due to the …

The propagation of cyber-attacks targeting modern industrial cyber-physical systems
(ICPSs) is considered a sophisticated and persistent cross-layer penetration process, posing …

To address the issue of low interpretability in deep-learning-based methods for mining
multilayer features from synthetic aperture radar (SAR) target samples, the deep …

With the wide use of NVM-based DNN accelerators for higher computing efficiency, the long
data retention time essentially causes a high risk of unauthorized weight stealing by …

The emerging UAV network suffers from severe security risks from attackers. If the attackers
sneak into an Internet of UAV (IoU) network, they would occupy the scarce resources which …

With the rapid increase in the development of deep learning methodologies, deep neural
networks (DNNs) are now being commonly deployed in smart systems (eg, autonomous …

In order to improve the intelligent informatization level of electric power production safety
and reduce the accidents, the paper constructs a dynamic perception scheme of electric …