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Cybersecurity Challenges in Smart Grid Systems: Current and Emerging Attacks, Opportunities, and Recommendations
Traditional power grids are transforming into Smart Grids (SGs) to address challenges such
as unidirectional information flow, increasing energy demand, energy waste, and issues …
as unidirectional information flow, increasing energy demand, energy waste, and issues …
[PDF][PDF] Application of machine learning techniques for countering side-channel attacks in cryptographic systems
IA Alzuabidi - Alkadhim J. Comput. Sci, 2024 - iasj.net
The use of machine learning algorithms in order to, not only, detect the adversarial intend
behind side-channel attacks on cryptographic systems, but also to resist Differential Power …
behind side-channel attacks on cryptographic systems, but also to resist Differential Power …
[PDF][PDF] Design of AI based Malware Detection Technique: A Revolutionized Machine Learning Methodology
YM Younus - Learning, 2025 - researchgate.net
This research aims at analyzing the performance of the SVM methodology in the detection of
malware by examining cross-traffic in the network using the CICIDS 2017 dataset. First, the …
malware by examining cross-traffic in the network using the CICIDS 2017 dataset. First, the …