id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajmri-4823	Ifeanyi, Chukwuagu M.; Gregory, Ogbu; Linus, Chukwu	Improving Cyber Security in Power Systems and Substation Automation Using Intelligent Based System	2025	18	.pdf	application/pdf	9605	369	31	In another study, AI-driven approaches were utilized to optimize the performance of intrusion detection systems, significantly improving their accuracy in detecting cyber attacks in substation automation systems (Pasqualetti et al., 2013). This gap stems from several factors, including: Complex and Heterogeneous Environments Power systems and substation automation systems are Pa ge 51 https://journals.e-palli.com/home/index.php/ajmri Am.	cache/ajmri-4823.pdf	txt/ajmri-4823.txt
