Results 31 to 40 of about 45,766 (284)

Security Against False Data-Injection Attack in Cyber-Physical Systems [PDF]

IEEE Transactions on Control of Network Systems, 2020
In this paper, secure, remote estimation of a linear Gaussian process via observations at multiple sensors is considered. Such a framework is relevant to many cyber-physical systems and internet-of-things applications. Sensors make sequential measurements that are shared with a fusion center; the fusion center applies a certain filtering algorithm to ...
Arpan Chattopadhyay, Urbashi Mitra
openaire   +2 more sources

Consensus-Based Distributed Target Tracking with False Data Injection Attacks over Radar Network

Applied Sciences, 2021
For target tracking in radar network, any anomaly in a part of the system can quickly spread over the network and lead to tracking failures. False data injection (FDI) attacks can damage the state estimation mechanism by modifying the radar measurements ...
Yongtao Shui, Yu Wang, Yu Li, Yongzhi Shan, Naigang Cui, Baojun Pang   +5 more
doaj   +1 more source

Subspace Methods for Data Attack on State Estimation: A Data Driven Approach [PDF]

, 2014
Data attacks on state estimation modify part of system measurements such that the tempered measurements cause incorrect system state estimates. Attack techniques proposed in the literature often require detailed knowledge of system parameters.
Jinsub Kim, Lang Tong, Life Fellow, Robert J. Thomas   +3 more
core   +1 more source

Location Detection of False Data Injection Attacks in Power Grid Based on Improved Deep Extreme Learning Machine

发电技术
ObjectivesPower systems are facing threats of false data injection attacks. Existing detection methods for false data injection attacks have the problems of insufficient feature learning ability and slow detection speed, making it difficult to locate ...
XI Lei, WANG Yixiao, XIONG Yahui, DONG Lu   +3 more
doaj   +1 more source

Deep learning-based identification of false data injection attacks on modern smart grids

Energy Reports, 2022
With the rapid adoption of renewables within the conventional power grid, the need of real-time monitoring is inevitable. State estimation algorithms play a significant role in defining the current operating scenario of the grid.
Debottam Mukherjee, Samrat Chakraborty, Almoataz Y. Abdelaziz, Adel El-Shahat   +3 more
doaj   +1 more source

Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise

, 2016
In this paper, we consider the problems of state estimation and false data injection detection in smart grid when the measurements are corrupted by colored Gaussian noise.
He, Haibo, Kay, Steven, Tang, Bo, Yan, Jun   +3 more
core   +1 more source

False Data Injection Attacks on Phasor Measurements That Bypass Low-rank Decomposition

, 2017
This paper studies the vulnerability of phasor measurement units (PMUs) to false data injection (FDI) attacks. Prior work demonstrated that unobservable FDI attacks that can bypass traditional bad data detectors based on measurement residuals can be ...
Chu, Zhigang, Kosut, Oliver, Sankar, Lalitha, Zhang, Jiazi   +3 more
core   +1 more source

Achieving Efficient Detection Against False Data Injection Attacks in Smart Grid

IEEE Access, 2017
Internet of Things (IoT) technologies have been broadly applied in smart grid for monitoring physical or environmental conditions. Especially, state estimation is an important IoT-based application in smart grid, which is used in system monitoring to get
Ruzhi Xu, Rui Wang, Zhitao Guan, Longfei Wu, Jun Wu, Xiaojiang Du   +5 more
doaj   +1 more source

Modeling and performance evaluation of stealthy false data injection attacks on smart grid in the presence of corrupted measurements

, 2016
The false data injection (FDI) attack cannot be detected by the traditional anomaly detection techniques used in the energy system state estimators. In this paper, we demonstrate how FDI attacks can be constructed blindly, i.e., without system knowledge,
Anwar, Adnan, Mahmood, Abdun Naser, Pickering, Mark   +2 more
core   +1 more source

Data-driven control against false data injection attacks

Automatica
The rise of cyber-security concerns has brought significant attention to the analysis and design of cyber-physical systems (CPSs). Among the various types of cyberattacks, denial-of-service (DoS) attacks and false data injection (FDI) attacks can be easily launched and have become prominent threats.
Liu, Wenjie, Li, Lidong, Sun, Jian, Deng, Fang, Wang, Gang, Chen, Jie   +5 more
openaire   +3 more sources