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All Journal Bulletin of Electrical Engineering and Informatics
Balakrishnan Koustubha Madhavi
Vardhaman College of Engineering
Electrical & Electronics Engineering

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Implementation of meta-heuristic and deep learning algorithms for power system cybersecurity Baddu Naik Bhukya; Samanthaka Mani Kuchibhatla; Naresh Kumar Bhagavatham; Tirumalasetti Lakshmi Narayana; Madhava Rao Chunduru; Balakrishnan Koustubha Madhavi
Bulletin of Electrical Engineering and Informatics Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i1.8569

Abstract

Power system cyber security is crucial due to their criticality. Cybersecurity is essential to protect vital infrastructure as power systems digitize. Meta-heuristic and deep learning techniques are used to improve power system cyber security in this paper. To evaluate their performance, the suggested approach is compared to traditional supervised machine learning algorithms including artificial neural networks (ANNs), convolutional neural networks (CNNs), and support vector machines (SVMs). The technique optimizes deep learning model hyper parameters and architectures to detect cyber risks. Cyberattacks on power systems can cause service outages and cascading failures with extensive social implications. Meta-heuristic and deep learning algorithms are integrated to improve power system cyber security in this study. Deep learning is good at pattern recognition and anomaly detection, while meta-heuristic algorithms optimize efficiently. A complete threat detection and mitigation strategy is proposed by merging these methodologies. The proposed methodology tests classic supervised machine learning algorithms such ANNs, CNNs, and SVMs. Simulations showed the algorithm worked better. It beat competition in accuracy, precision, recall, and F1-score.
Co-Authors Baddu Naik Bhukya Madhava Rao Chunduru Naresh Kumar Bhagavatham Samanthaka Mani Kuchibhatla Tirumalasetti Lakshmi Narayana