Leveraging Spatiotemporal Pattern for Cyberattack Detection in Distribution Systems

Paradesi Subba Rao, Vemu Raghavendrasharma, Vadde Harikrishna, Degulapadu Mondla Varun Tej, Pasupuleti Sangeeth Kumar, Pula Sandeep Kumar

2025

Abstract

The growing digitalization of power systems where networks are used for the distribution of electricity has also made them susceptible to emerging sophisticated cyber threats, which necessitates the need for advanced detection systems. Traditional security approaches have often failed to capture the complex spatiotemporal dynamics of cyberattacks, leading to delayed or false negative identification of a threat. Here we propose a machine learning based cyber security system which leverages LSTM networks and CNNs to extract spatial features and detect temporal behaviour patterns, and uses Random Forest for making decisions. The proposed approach is able to enhance detection accuracy and reduce the false positive rates by using spatiotemporal data as compared to traditional techniques.

Paper Citation

in Harvard Style

Rao P., Raghavendrasharma V., Harikrishna V., Tej D., Kumar P. and Kumar P. (2025). Leveraging Spatiotemporal Pattern for Cyberattack Detection in Distribution Systems. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 89-93. DOI: 10.5220/0013877500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Paradesi Rao and Vemu Raghavendrasharma and Vadde Harikrishna and Degulapadu Tej and Pasupuleti Kumar and Pula Kumar},
title={Leveraging Spatiotemporal Pattern for Cyberattack Detection in Distribution Systems},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={89-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013877500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Leveraging Spatiotemporal Pattern for Cyberattack Detection in Distribution Systems
SN - 978-989-758-777-1
AU - Rao P.
AU - Raghavendrasharma V.
AU - Harikrishna V.
AU - Tej D.
AU - Kumar P.
AU - Kumar P.
PY - 2025
SP - 89
EP - 93
DO - 10.5220/0013877500004919
PB - SciTePress