Research on Computer Network Vulnerability Scanning Technology Based on Deep Learning Technology under the Background of Large Data
The rapid development of computer not only brings convenience to peoples 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
Lv Haitao He Rongjie Liu Guixiang
Modern Educational Technology Center,Harbin Finance University,Harbin 150030,Heilongjiang,China Harbin Finance University Library,Harbin 150030,Heilongjiang,China
国际会议
浙江宁波
英文
208-211
2019-07-06（万方平台首次上网日期，不代表论文的发表时间）