Deep reinforcement learning in production systems: a systematic literature review
Shortening product development cycles and fully customisable products pose major
challenges for production systems. These not only have to cope with an increased product …
challenges for production systems. These not only have to cope with an increased product …
[HTML][HTML] Industrial cyber-physical systems protection: A methodological review
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …
Deep Q-network-based heuristic intrusion detection against edge-based SIoT zero-day attacks
S Shen, C Cai, Z Li, Y Shen, G Wu, S Yu - Applied Soft Computing, 2024 - Elsevier
How to process and classify zero-day attacks due to their huge damage to social Internet of
Things (SIoT) systems has become a hot research issue. To solve this issue, we propose a …
Things (SIoT) systems has become a hot research issue. To solve this issue, we propose a …
[HTML][HTML] Adversarial machine learning in industry: A systematic literature review
Abstract Adversarial Machine Learning (AML) discusses the act of attacking and defending
Machine Learning (ML) Models, an essential building block of Artificial Intelligence (AI). ML …
Machine Learning (ML) Models, an essential building block of Artificial Intelligence (AI). ML …
Possible applications of edge computing in the manufacturing industry—systematic literature review
K Kubiak, G Dec, D Stadnicka - Sensors, 2022 - mdpi.com
This article presents the results of research with the main goal of identifying possible
applications of edge computing (EC) in industry. This study used the methodology of …
applications of edge computing (EC) in industry. This study used the methodology of …
Security in internet of things: a review on approaches based on blockchain, machine learning, cryptography, and quantum computing
Abstract The Internet of Things (IoT) is an important virtual network that allows remote users
to access linked multimedia devices. The development of IoT and its ubiquitous application …
to access linked multimedia devices. The development of IoT and its ubiquitous application …
Toward deep transfer learning in industrial internet of things
Machine learning techniques have been widely adopted to assist in data analysis in a
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …
Healthcare internet of things: Security threats, challenges and future research directions
Internet of Things (IoT) applications are switching from general to precise in different
industries, eg, healthcare, automation, military, maritime, smart cities, transportation …
industries, eg, healthcare, automation, military, maritime, smart cities, transportation …
Attrition: Attacking static hardware trojan detection techniques using reinforcement learning
Stealthy hardware Trojans (HTs) inserted during the fabrication of integrated circuits can
bypass the security of critical infrastructures. Although researchers have proposed many …
bypass the security of critical infrastructures. Although researchers have proposed many …
Deep learning for the security of software-defined networks: a review
As the scale and complexity of networks grow rapidly, management, maintenance, and
optimization of them are becoming increasingly challenging tasks for network administrators …
optimization of them are becoming increasingly challenging tasks for network administrators …