首页|Study Results from University of Technology Malaysia Provide New Insights into M achine Learning (Enhancing IoT security: A comparative study of feature reductio n techniques for intrusion detection system)
Study Results from University of Technology Malaysia Provide New Insights into M achine Learning (Enhancing IoT security: A comparative study of feature reductio n techniques for intrusion detection system)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from the University of Techno logy Malaysia by NewsRx journalists, research stated, “Internet of Things (IoT) devices are extensively utilized but are susceptible to cyberattacks, posing sig nificant security challenges. To mitigate these threats, machine learning techni ques have been implemented for network intrusion detection in IoT environments.”
University of Technology MalaysiaCyber securityCyborgsEmerging TechnologiesMachine Learning
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