首页|Researchers at King Khalid University Release New Data on Machine Learning (An E dge Computing-Based and Threat Behavior-Aware Smart Prioritization Framework for Cybersecurity Intrusion Detection and Prevention of IEDs in Smart Grids With .. .)
Researchers at King Khalid University Release New Data on Machine Learning (An E dge Computing-Based and Threat Behavior-Aware Smart Prioritization Framework for Cybersecurity Intrusion Detection and Prevention of IEDs in Smart Grids With .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originating fromAbha, Saudi Arabia, by News Rx correspondents, research stated, “The smart grid environment, whichemphasize s sustainability, dependability, and efficiency through smart components such as IntelligentElectronic Devices (IEDs), communication networks, and control syst ems, marks a revolutionary changein the way traditional power distribution is c arried out. As smart grids grow and are integrated intoenergy distribution netw orks, these systems become more vulnerable to cybersecurity threats due to theirincreased connectivity, usage of IEDs, and reliance on digital communication ch annels.”
King Khalid UniversityAbhaSaudi Arab iaAsiaCybersecurityCyborgsEmerging TechnologiesMachine LearningSuppo rt Vector Machines
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