Research on Computer Network Vulnerability Scanning Technology Based on Deep Learning Technology under the Background of Large Data
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Lv Haitao, He Rongjie, Liu Guixiang
The rapid development of computer not only brings convenience to people's lives, but also has many hidden dangers. The hacker attack is one of the most important problems. It is also because of the rapid development of hacker attack technology that people pay more and more attention to the security of the network. This paper presents the concept of deep learning, a sub-domain of large data and machine learning, and expounds the important role of deep learning in acquiring valuable information in large data. This paper studies the application of modern big data method in the field of computer network vulnerability scanning technology, and proposes a computer network vulnerability scanning technology based on deep learning. The online dynamic prediction of the system is carried out through fault model training, fault feature recognition, and fault evolution law acquisition, thereby improving the security of the computer network.
Big Data, Deep Learning, Network Vulnerability Scanning Technology