Open AccessComputer Network Security Analysis Modeling Based on Deep Learning Algorithm
Author(s) -
Yinxing Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/4/042071
Subject(s) - computer science , network access control , network security , computer security model , computer security , enterprise private network , state (computer science) , algorithm , computer network , cloud computing security , operating system , cloud computing
With the continuous development of human civilization and the continuous progress of computer technology, computer network has been widely used in our life, which has brought great convenience to people’s production and life. As the computer network plays an increasingly important role in daily life, the security of computer network has been paid more and more attention. Therefore, this paper studies the modeling of computer network security analysis based on deep learning algorithm. Starting from the types, levels and main problems of security needs, this paper analyzes the threats faced by the system equipment, access rights, and the main connection relationship, and makes a visual description of the network threats from the perspective of the purpose of the attack is to enhance higher permissions. The security analysis and modeling work is applied to the security fault tree method of computer system and the attack method of network information system. Through research and analysis, starting from the current state of computer network security, this paper deeply studies the analysis and modeling of computer network security, and realizes the evaluation of current computer network security. The accuracy rate of the proposed method for intrusion detection reaches 91.6%.