Results 61 to 70 of about 425,871 (99)

IP2FL: Interpretation-Based Privacy-Preserving Federated Learning for Industrial Cyber-Physical Systems

IEEE Transactions on Industrial Cyber-Physical Systems
The expansion of Industrial Cyber-Physical Systems (ICPS) has introduced new challenges in security and privacy, highlighting a research gap in effective anomaly detection while preserving data confidentiality.
Danyal Namakshenas, Abbas Yazdinejad, A. Dehghantanha, R. Parizi, Gautam Srivastava   +4 more
semanticscholar   +1 more source

Anomaly Detection Using Bi-Directional Long Short-Term Memory Networks for Cyber-Physical Electric Vehicle Charging Stations

IEEE Transactions on Industrial Cyber-Physical Systems
With the increasing integration of electric vehicles (EVs) into the distributed energy resources (DER) system, the security of EV charging stations (EVCS) from cyber-attacks is paramount.
Arif Hussain, Ankit Yadav, Gelli Ravikumar   +2 more
semanticscholar   +1 more source

Game Theoretical Decision-Making of Dynamic Defense in Cyber-Physical Power Systems under Cyber-Attacks

ACM Trans. Cyber Phys. Syst.
The reliable and safe operation of the Cyber-Physical Power System (CPPS) consisting of power generation and transmission highly depends on the security of the underlying communication infrastructure.
Peng-Chao Yao, Bing-Jing Yan, Qiang Yang
semanticscholar   +1 more source

Out-of-Distribution Fault Diagnosis of Industrial Cyber-Physical Systems Based on Orthogonal Anchor Clustering With Adaptive Balance

IEEE Transactions on Industrial Cyber-Physical Systems
Given the critical role of rotating machinery in industrial cyber-physical systems (ICPS), ensuring their reliable operation is essential for the stability and safety of ICPS.
Ruo-Nan Liu, Puyuan Hu, Siheng Zhao, Zhijian Sun, Te Han, Zhi-Bo Pang, Wei-Dong Zhang   +6 more
semanticscholar   +1 more source

Data-Based Q-Learning for Replay Attack Detection in Cyber-Physical Systems

IEEE Transactions on Industrial Cyber-Physical Systems
This article investigates an innovative data-driven approach to detect replay attacks in cyber-physical systems (CPSs). The core innovation lies in the pioneering application of a Q-learning algorithm for real-time estimation of the unknown system output
Junshuai Qin, Zheng-Dao Zhang, Hua-Rong Zhao   +2 more
semanticscholar   +1 more source

Carbon-Aware Scheduling for Cyber-Physical Systems in the Edge-Cloud Continuum

Industrial Cyber-Physical Systems
Cyber-Physical Systems (CPS) powered by Artificial Intelligence (AI) have the potential to revolutionize industries by enabling advanced analytics and autonomous decision-making.
Johan Kristiansson, J. Delsing, Thomas Ohlson Timoudas   +2 more
semanticscholar   +1 more source

Industrial Rare Cyber Attack Detection Based on Federated Diffusion-Squeeze Graph Modeling

IEEE Transactions on Industrial Cyber-Physical Systems
Distributed learning applied in industrial cyber-physical systems (ICPS) is vulnerable to cyber attacks, especially rare ones. Common data-driven cyber attack detection approaches face the challenges of imbalanced data, resulting in insufficient ...
Fangyu Li, Junnuo Lin, Di Wang, Hong-Yan Yang   +3 more
semanticscholar   +1 more source

How does cybersecurity awareness help in achieving digital financial inclusion in rural India under escalating cyber fraud scenario?

Journal of Cyber Security Technology
The remarkable rise of cybercrime and its catastrophic consequences pose a significant threat to global financial and banking institutions. Financial inclusion is essential in fostering economic development and enhancing individual empowerment ...
Mohammed Afzal, Maryam Meraj, Manpreet Kaur, Mohd. Shamim Ansari   +3 more
semanticscholar   +1 more source

Data-Driven Group Formation Control of Cyber-Physical Systems via Distributed Cloud Computing

IEEE Transactions on Industrial Cyber-Physical Systems
This paper investigates the group formation control problem for cyber-physical systems (CPSs) with random communication constraints. The distributed cloud computing system is constructed to divide agents into groups and establish communication between ...
Hong-Ru Ren, Yinren Long, Hongyi Li, Ting-Wen Huang   +3 more
semanticscholar   +1 more source

Explainable Multi-Modal Deep Learning Framework for Enhancing Cyber-Physical Systems Security

International Conference on Cyber Security and Cloud Computing
Cyber-physical systems (CPS) combine sensing, control, and communication for automated operation across industrial domains. The increasing integration of these systems has introduced vulnerabilities that demand secure and explainable protection ...
Srikanta Datta Tumkur, Jayassree Iyer, Sanjay Babu Kurra   +2 more
semanticscholar   +1 more source