Construction of a Security Defense Model for the University's Cyberspace Based on Machine Learning
Wang Bin
Abstract:In order to ensure the security of university teachers and students using cyberspace, a machine learning based university cyberspace security defense model is constructed. Adopting a compression perception based data collection method for university cyberspace, the data information collection of university cyberspace is completed through sparse representation, compression measurement, and recovery reconstruction. Combining the advantages of Convolutional Neural Network (CNN) model in spatial feature extraction… Show more
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