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Title: :  LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM
PaperId: :  26473
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26473
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
V. KumarKV SUBBA REDDY ENGINEERING COLLEGE
Dr B MaheshKV SUBBA REDDY ENGINEERING COLLEGE
S. Ibrahim KhaliullaKV SUBBA REDDY ENGINEERING COLLEGE
S. Parvez BashaKV SUBBA REDDY ENGINEERING COLLEGE
S. Mohammed SuhailKV SUBBA REDDY ENGINEERING COLLEGE

Abstract

COMPUTER SCIENCE AND ENGINEERING
Cyber-Physical Systems, Spatiotemporal Analysis, Cyber Attack Detection, Recurrent Neural Networks (RNNs), Power Distribution Systems
The increasing integration of cyber-physical systems in power distribution networks has heightened their vulnerability to sophisticated cyber attacks. This project proposes a novel framework for detecting cyber attacks in distribution systems by leveraging spatiotemporal patterns inherent in system data. By analyzing both spatial dependencies across distributed nodes and temporal trends in system behavior, the model effectively identifies anomalies indicative of malicious activities. The approach utilizes advanced machine learning algorithms, including recurrent neural networks (RNNs) and graph-based models, to capture the dynamic relationships and deviations from expected operational norms. Experimental results on simulated distribution system datasets demonstrate high accuracy in detecting a variety of cyber threats, including false data injection and command spoofing attacks. This spatiotemporal approach enhances situational awareness and supports proactive cybersecurity mechanisms for critical energy infrastructure.

Citations

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IJARIIE V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, and S. Mohammed Suhail. "LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 451-457
MLA V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, and S. Mohammed Suhail. "LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 451-457.
APA V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, & S. Mohammed Suhail. (2025). LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 451-457.
Chicago V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, and S. Mohammed Suhail. "LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 451-457.
Oxford V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, and S. Mohammed Suhail. 'LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 451-457. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/LEVERAGING_SPATIOTEMPORAL_PATTERNS_FOR_CYBER_ATTACK_DETECTION_IN_DISTRIBUTION_SYSTEM_ijariie26473.pdf (Accessed : ).
Harvard V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, and S. Mohammed Suhail. (2025) 'LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 451-457IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/LEVERAGING_SPATIOTEMPORAL_PATTERNS_FOR_CYBER_ATTACK_DETECTION_IN_DISTRIBUTION_SYSTEM_ijariie26473.pdf (Accessed : )
IEEE V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, and S. Mohammed Suhail, "LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 451-457, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/LEVERAGING_SPATIOTEMPORAL_PATTERNS_FOR_CYBER_ATTACK_DETECTION_IN_DISTRIBUTION_SYSTEM_ijariie26473.pdf [Accessed : ].
Turabian V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, and S. Mohammed Suhail. "LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver V. Kumar, Dr B Mahesh, S. Ibrahim Khaliulla, S. Parvez Basha, and S. Mohammed Suhail. LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 451-457. Available from: https://ijariie.com/AdminUploadPdf/LEVERAGING_SPATIOTEMPORAL_PATTERNS_FOR_CYBER_ATTACK_DETECTION_IN_DISTRIBUTION_SYSTEM_ijariie26473.pdf
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