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Identification of False Data Injection and Man in the Middle Cyber-Attacks Impact on Smart Grid

Publication Type : Conference Paper

Publisher : IEEE

Source : ICSCCC 2023 - 3rd International Conference on Secure Cyber Computing and Communications, pp. 678–683, 2023

Url : https://ieeexplore.ieee.org/document/10176782

Campus : Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Year : 2023

Abstract : There are numerous difficulties concerning cyber security in the smart grid, and a majority of such challenges faced across devices connected to the grid are in the form of nefarious attacks with the potential aim to tamper with power supplied to any consumer and breach of data respective to PMU and IP camera sensor. So, the best way to prevent such cyber-attack problems is by using security measures such as Network Intrusion Prevention Systems (NIPS) and firewalls equipped with each distributed system integrated into the grid. Many different attacks and prevention methods have been adopted to maintain the grid almost vulnerable to cyber-attacks. Therefore, this work aims to present the component-level cyber-attack analysis of PMU and IP camera sensors when connected to an IEEE 13-node system based on FDI and MitM attack scenarios. The study is simulated, and the results are obtained using GridAttackAnalyzer, a smart grid attack analysis framework.

Cite this Research Publication : Vidya, A.M., Sai, D.D., Sarveshwaran, G., Mukesh, S.S., Chandrakala, K.R.M.V., “Identification of False Data Injection and Man in the Middle Cyber-Attacks Impact on Smart Grid”, ICSCCC 2023 - 3rd International Conference on Secure Cyber Computing and Communications, pp. 678–683, 2023

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