Results 61 to 70 of about 1,171,713 (299)
Electronics, 2021 Nowadays, the role of cyber-physical systems (CPSs) is of paramount importance in power system security since they are more vulnerable to different cyber-attacks. Detection of cyber-attacks on a direct current microgrid (DC-MG) has become a pivotal issue
M. Dehghani +4 more
semanticscholar +1 more source
Attack-resilient control for converter-based DC microgrids
Global Energy Interconnection, 2023 In light of the growing integration of renewable energy sources in power systems, the adoption of DC microgrids has become increasingly popular, due to its simple structure, having no frequency, power factor concerns.
Sen Tan +2 more
doaj +1 more source
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
IET Networks, EarlyView., 2022 Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Impact of Cyber Attacks on High Voltage DC Transmission Damping Control
Energies, 2018 Hybrid AC/HVDC (AC-HVDC) grids have evolved to become huge cyber-physical systems that are vulnerable to cyber attacks because of the wide attack surface and increasing dependence on intelligent electronic devices, computing resources and communication ...
Rui Fan +3 more
doaj +1 more source
Network Attack Detection Method of the Cyber-Physical Power System Based on Ensemble Learning
Applied Sciences, 2022 With the rapid development of power grid informatization, the power system has evolved into a multi-dimensional heterogeneous complex system with high cyber-physical integration, denoting the Cyber-Physical Power System (CPPS).
Jie Cao +5 more
doaj +1 more source
IET Power Electronics, EarlyView., 2023 This article proposes a neural network‐based cyber attack detection and mitigation scheme to detect and mitigate false data injection attacks on the sensors. Neural networks are used for the prediction of duty; a combination of a data sampler and a binary attack detector detects the presence of an attack.
Venkata Siva Prasad Machina +4 more
wiley +1 more source
IET Generation, Transmission & Distribution, 2022 Cyber‐attack has become one of the main threats to the safe operation of the load control system in the distribution network. Currently, a large number of methods are developed to detect cyber‐attacks.
Yingjun Wu +7 more
doaj +1 more source
Attack Graph Model for Cyber-Physical Power Systems Using Hybrid Deep Learning
IEEE Power & Energy Society General MeetingElectrical power grids are vulnerable to cyber attacks, as seen in Ukraine in 2015 and 2016. However, existing attack detection methods are limited. Most of them are based on power system measurement anomalies that occur when an attack is successfully ...
Alfan Presekal +3 more
semanticscholar +1 more source
Cyber-Attack Scoring Model Based on the Offensive Cybersecurity Framework
Applied Sciences, 2021 Cyber-attacks have become commonplace in the world of the Internet. The nature of cyber-attacks is gradually changing. Early cyber-attacks were usually conducted by curious personal hackers who used simple techniques to hack homepages and steal personal ...
Kyounggon Kim, F. Alfouzan, H. Kim
semanticscholar +1 more source
, 2007 Cyberspace, computers, and networks are now potential terrain of warfare. We describe some effective forms of deception in cyberspace and discuss how these deceptions are used in attacks. After a general assessment of deception opportunities in cyberspace, we consider various forms of identity deceptions, denial-of-service attacks, Trojan horses, and ...
Rowe, Neil C., Custy, E. John
openaire +2 more sources