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Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13615
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dc.contributor.authorBarsha, Nisha Kumarien_US
dc.contributor.authorHubballi, Neminathen_US
dc.date.accessioned2024-04-26T12:43:29Z-
dc.date.available2024-04-26T12:43:29Z-
dc.date.issued2024-
dc.identifier.citationBarsha, N. K., & Hubballi, N. (2024). Detecting Cyber Attacks in Smart-Grid Networks with Probability Distribution Comparison. Proceedings - IEEE Consumer Communications and Networking Conference, CCNC. Scopus. https://doi.org/10.1109/CCNC51664.2024.10454689en_US
dc.identifier.isbn979-8350304572-
dc.identifier.issn2331-9860-
dc.identifier.otherEID(2-s2.0-85189199875)-
dc.identifier.urihttps://doi.org/10.1109/CCNC51664.2024.10454689-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/13615-
dc.description.abstractSmart-grids add ICT to grid infrastructure and hence vulnerable to security threats. In this paper, we propose flooding and bruteforce attack detection method against smart-grid infrastructure. This we achieve by modeling the Modbus communication messages as a probability distribution and subsequently, we compare a test interval with the base distribution using the Hellinger distance metric. We experiment with two publicly available datasets to show that the proposed method can detect these attacks effectively. � 2024 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceProceedings - IEEE Consumer Communications and Networking Conference, CCNCen_US
dc.subjectAnomaly Detectionen_US
dc.subjectCyber Attacksen_US
dc.subjectProbability Distribution Comparisonen_US
dc.subjectSCADA Systemsen_US
dc.titleDetecting Cyber Attacks in Smart-Grid Networks with Probability Distribution Comparisonen_US
dc.typeConference Paperen_US
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