An intrusion detection system and method based on machine learning
An intrusion detection system and machine learning technology, applied to instruments, computer components, platform integrity maintenance, etc., can solve complex network attack analysis, too many training samples, manual processing difficulties, etc., to reduce training time and forecast time, improving detection efficiency, and reducing training time
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[0040] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0041] Such as figure 1 As shown in the flowchart of the feature selection experiment scheme provided by the embodiment of the present invention, feature selection is an effective method for data preprocessing in the field of machine learning and pattern recognition. By reducing the dimension of features, the complexity of post-processing analysis is reduced.
[0042] Use Sniffer and other software to analyze the feature selection method in Matlab and other related software on the data collected on campus network and the Internet. First, four feature selection methods, including Fisher linear discrimination, ReliefF mult...
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