首页|Studies from Nanyang Technological University Further Understanding of Machine L earning (Analysis of Machine Learning Application in Campus Network Traffic Anom aly Detection)
Studies from Nanyang Technological University Further Understanding of Machine L earning (Analysis of Machine Learning Application in Campus Network Traffic Anom aly Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Nanyang Technological Universit y by NewsRx editors, research stated, “In this paper, machine learning algorithm s are first utilized to extract features of campus network traffic, and then the multi-attention mechanism is introduced to fuse the massive features extracted at different scales.” Our news reporters obtained a quote from the research from Nanyang Technological University: “Unsupervised learning is used to propose a method for detecting ne twork traffic anomalies, and simulation experiments are conducted to verify the model’s performance. The results show that the detection rates of machine learni ng algorithms are all above 80%, the false alarm rate basically sta ys below 10%.”
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