Robotics & Machine Learning Daily News2024,Issue(Sep.11) :12-13.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.11) :12-13.

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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Abstract

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.”

Key words

University of Technology Malaysia/Cyber security/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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