Zobrazeno 1 - 10
of 2 280
pro vyhledávání: '"False data injection"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31119-31141 (2024)
This paper considers the practical consensus of time-varying fuzzy positive multi-agent systems. A novel error variable is introduced by adding an additional constant term. Under the framework of time-varying fuzzy copositive Lyapunov functions, a fu
Externí odkaz:
https://doaj.org/article/42ffa0c5868e4fafa937172942ea1bd5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Power electronic converters are widely implemented in many types of power applications such as microgrids. Power converters can make a physical connection between the power resources and the power application. To control a power converter, r
Externí odkaz:
https://doaj.org/article/9719c9ba19a1489c9388a9d8e15cdc2c
Autor:
Sheng-Ran Jia, Wen-Juan Lin
Publikováno v:
AIMS Mathematics, Vol 9, Iss 9, Pp 25127-25144 (2024)
In this paper, we proposed a reachable set control method for a class of Markov jump cyber-physical systems (MJCPSs) with time-varying delays, which addressed the challenges posed by false data injection (FDI) attacks to system security. The goal was
Externí odkaz:
https://doaj.org/article/3b5bdafb91584fb8a88a17ff5f97a719
Autor:
Qassim Nasir, Manar Abu Talib, Muhammad Arbab Arshad, Tracy Ishak, Romaissa Berrim, Basma Alsaid, Youssef Badway, Omnia Abu Waraga
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-26 (2024)
Abstract False Data Injection Attacks (FDIA) pose a significant threat to the stability of smart grids. Traditional Bad Data Detection (BDD) algorithms, deployed to remove low-quality data, can easily be bypassed by these attacks which require minima
Externí odkaz:
https://doaj.org/article/f5b40a8d40f94d06886bdbeec24e440a
Autor:
Thavavel Vaiyapuri, Huda Aldosari, Ghada Alharbi, Yassine Bouteraa, Gyanendra Prasad Joshi, Woong Cho
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Recent sensor, communication, and computing technological advancements facilitate smart grid use. The heavy reliance on developed data and communication technology increases the exposure of smart grids to cyberattacks. Existing mitigation in
Externí odkaz:
https://doaj.org/article/f612d21efbf24dcebee9e6793c1635e5
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110180- (2024)
In this paper, a new structure, the so-called FBSCUCFDIP-P/EV is proposed as flexibility-based security constrained unit commitment (SCUC) in the presence of false data injection (FDI) attack into the communication infrastructure of electric vehicle
Externí odkaz:
https://doaj.org/article/9cb7861dc0914aba9c5e9291c2a63cbc
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 7, Pp 1370-1379 (2024)
Abstract Developing accurate wind speed forecasting methods is indispensable to integrating wind energy into smart grids. However, current state‐of‐the‐art wind speed forecasting methods are almost data‐driven deep learning models, which may
Externí odkaz:
https://doaj.org/article/4cfd5a6eeca04a369d740b9428de5554
Autor:
Hend Khalid Alkahtani, Nuha Alruwais, Asma Alshuhail, Nadhem NEMRI, Achraf Ben Miled, Ahmed Mahmud
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 15076-15096 (2024)
Cyber-physical systems (CPSs) are affected by cyberattacks once they are more connected to cyberspace. Advanced CPSs are highly complex and susceptible to attacks such as false data injection attacks (FDIA) targeted to mislead the systems and make th
Externí odkaz:
https://doaj.org/article/097c4c0557514c71946aef003ea2db89
Publikováno v:
Polish Maritime Research, Vol 31, Iss 1, Pp 114-126 (2024)
The results of studies on a trajectory-tracking problem affected by false data injection attacks (FDIAs) and internal and external uncertainties are presented in this paper. In view of the FDIAs experienced by the system, we compensate for the seriou
Externí odkaz:
https://doaj.org/article/1a162bf1a1c7462f89812be84f9f0efb