Detection of false data injection in point-of-sale systems during credit card transactions using tuned deep learning models and oversampling techniques [PDF]
PeerJ Computer ScienceBackground False data injection attack (FDIA) occurs during credit card transactions at point-of-sale systems (POS). FDI increases in POS due to free WIFI access at sales counters.
S. Jhansi Ida, K. Balasubadra
doaj +2 more sources
Frontiers in Energy Research, 2023 Existing False data injection attack (FDIA) detection methods based on measurement similarity testing have difficulty in distinguishing between actual power grid accidents and FDIAs.
Yihua Zhu +7 more
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IEEE Access, 2020 The penetration of renewable energy generations, e.g., wind power, not only introduces the randomness and fluctuations into power system operations but also increases the possibilities of cybersecurity issues.
Kehe Wu +4 more
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An adaptive sliding‐mode resilient control strategy in smart grid under mixed attacks
IET Control Theory & Applications, 2021 This paper is concerned with security problems for cyber‐physical systems (CPSs) under dynamic load altering attacks (DLAA) and false data injection attacks (FDIA). The smart grid, as a typical CPS system, is taken as an example in this paper.
Jian Li +3 more
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A Deviation-Based Detection Method Against False Data Injection Attacks in Smart Grid
IEEE Access, 2021 State estimation plays a vital role to ensure safe and reliable operations in smart grid. Intelligent attackers can carefully design a destructive and stealthy false data injection attack (FDIA) sequence such that commonly used weighted least squares ...
Chao Pei +3 more
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Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids [PDF]
, 2015 This paper discusses malicious false data injection attacks on the wide area measurement and monitoring system in smart grids. Firstly, methods of constructing sparse stealth attacks are developed for two typical scenarios: random attacks in which ...
Chin, WH +4 more
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On addressing the security and stability issues due to false data injection attacks in DC microgrids an adaptive observer approach [PDF]
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Blaabjerg, Frede +4 more
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Modified Red Fox Optimizer With Deep Learning Enabled False Data Injection Attack Detection
IEEE Access, 2023 Recently, power systems are drastically developed and shifted towards cyber-physical power systems (CPPS). The CPPS involve numerous sensor devices which generates enormous quantities of information. The data gathered from each sensing component needs to
Hayam Alamro +5 more
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Detecting False Data Injection Attacks Against Power System State Estimation with Fast Go-Decomposition Approach [PDF]
, 2019 State estimation is a fundamental function in modern energy management system, but its results may be vulnerable to false data injection attacks (FDIAs).
Chen, Ying +5 more
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False data injection attack (FDIA): An overview and new metrics for fair evaluation of its countermeasure [PDF]
, 2020 The concept of false data injection attack (FDIA) was introduced originally in the smart grid domain. While the term sounds common, it specifically means the case when an attacker compromises sensor readings in such tricky way that undetected errors are ...
Ahmed, Mohiuddin, Pathan, Al-Sakib Khan
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