Network intrusion detection method and device based on multi-network model and electronic equipment
A network intrusion detection and multi-network technology, which is applied in the field of network intrusion detection methods, devices and electronic equipment based on multi-network models, can solve problems such as low model accuracy, achieve high recognition accuracy and improve the effect of recognition.
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[0052] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to specific embodiments and drawings.
[0053] With the rapid development of deep learning and machine learning, there are many researches on intrusion detection using the two, the main methods of which are support vector machines, multilayer perceptrons, convolutional neural networks and recurrent neural networks.
[0054] ·Intrusion detection method based on support vector machine
[0055] Support vector machine is a kind of generalized linear classifier that classifies data binary in a supervised learning manner, and its decision boundary is the maximum margin hyperplane for solving learning samples. SVM uses the hinge loss function to calculate the empirical risk and adds a regularization term to the solution system to optimize the structural risk. It is a classifier with sparsity and robustnes...
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