Results 61 to 70 of about 24,736,965 (159)

GenAI-FDIA: Physics-Informed Generative Models for False Data Injection Attacks

Training and evaluating false data injection attack (FDIA) detectors for power systems is constrained by data scarcity. Operational grid measurements are commercially sensitive, and hand-crafted attacks fail to capture complex distributional structures imposed by network physics.
Razzaque, Mohammad A., Hira, Muta Tah
openaire   +2 more sources

Cyber‐Resilient MMC‐MTDC Stability via Robust Observer Design for Wind‐Integrated Grids

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper proposes a stochastic stabilising control method, based on a Markov jump model (MJM), to comprehensively address stability challenges in modular multilevel converter‐based multi‐terminal direct current (MMC‐MTDC) systems due to communication network disturbances.
Mohsen Darabian, Abdeljelil Chammam, Marwea Hussien, M. K. Sharma, Nargiza Kuzieva, A. K. Kareem   +5 more
wiley   +1 more source

A multi-stage low-cost false data injection attack method for power CPS

Zhejiang dianli, 2023
With the rapid development of information and communication technology， the power system has developed into a cyber physical system （CPS） in which the information system and the physical system are deeply coupled. The constant interplay between data flow
YI Na, XU Jianjun, CHEN Yue, PAN Feiyu
doaj   +1 more source

Busbar Switching–Based Moving Target Defence Method Against Data Tampering Attacks

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
In this article, the busbar switching model is analysed mathematically, and a busbar switching–based MTD method is proposed to mitigate the information advantage of data tampering attacker by leveraging network reorganization. ABSTRACT With the growing sophistication of attackers, data tampering attacks targeting power systems can be launched with ...
Qi Wang, Ziyi Zhang, Quanpeng He, Shutan Wu, Jianxiong Hu, Yi Tang   +5 more
wiley   +1 more source

FDIA Attack Detection Technique for Smart Grids Based on Graph Reconstruction and Spatio-Temporal Joint Modeling [PDF]

E3S Web of Conferences
With the widespread application of smart grids, the false data injection attack (FDIA) has become a major threat to power grid security. Traditional detection methods often have difficulty in effectively identifying such attacks, especially in complex ...
Gao Yuzhang, Xia Jing
doaj   +1 more source

Detecting False Data Injection in Smart Grid Overcurrent Relay Settings Using an AE–GAN–SVM Framework

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper introduces a novel protection‐aware AE–GAN–SVM hybrid framework designed to detect and mitigate coordinated false data injection attacks targeting PMU and relay‐setting domains. By integrating topology‐aware generative modelling with swarm robotics search and rescue (SRSR) optimisation, the framework enhances reliability and cyber‐physical ...
Mohammad Bakhshipour, Farhad Namdari, Mohammad Bagher Dolatshahi   +2 more
wiley   +1 more source

FALSE DATA INJECTION ATTACK DETECTION AND EARLY INTERVENTION IN A POWER SYSTEM USING KULLBACK-LEIBLER DIVERGENCE AND MAXIMUM DIFFERENCE

, 2023
As the modern electric grid communicates with each other, the system’s inherent se-curity vulnerabilities start becoming a problem for efficient operation. Various attacks on the system for nefarious means diminish the system’s capabilities.
Khadka, Prayush
core   +1 more source

Active Learning-Based XGBoost for Cyber Physical System Against Generic AC False Data Injection Attacks

IEEE Access, 2020
With the exponential growth of information and communication technology, the traditional power system is gradually evolving into a cyber physical energy system (CPES) with frequently interactions between physical and cyber components.
Wenli Xue, Ting Wu
doaj   +1 more source

Security Challenges and Solutions in Self‐Driving Vehicles: A Comprehensive Review

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a comprehensive review of cybersecurity challenges and solutions in self‐driving vehicles, focusing on threats across vehicular communication, sensors, artificial intelligence (AI) systems, and data privacy. It categorises attacks based on autonomous vehicle architecture layers and highlights advanced countermeasures such as AI ...
Yaw Opoku Mensah Sekyere, Priscilla Ajiboye Oyelandun, Francis Boafo Effah   +2 more
wiley   +1 more source

Cyber‐Resilient and Cost‐Efficient Operation of EV Charging Stations: Implications for Regulators and Policymakers

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
The proposed cyber‐resilient and cost‐efficient EVCS framework monitors the EVCS data under normal and cyberattack conditions.The AE‐GRU model identifies cyber‐induced anomalies using reconstruction error and an adaptive threshold mechanism. Upon anomaly detection, appropriate control and mitigation measures are activated to maintain secure, reliable ...
Amarsingh Bala Vanitha, Nayanatara Chandrasekaran, Rajkumar Kasi, Subramani Mohan   +3 more
wiley   +1 more source