Open Access Paper
11 September 2023 Construction of intelligent network anti-risk index evaluation system based on machine learning
Shunkai Wang, Bingjie Liu, Fan Zhang
Author Affiliations +
Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 1277922 (2023) https://doi.org/10.1117/12.2688713
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
With the growth of the Internet, network attack means emerge in endlessly, and internet safety issues become more and more important. Anti-virus software and firewalls generate a large amount of alarm information. Faced with such a huge amount of data, network managers can hardly grasp the security status of the network system and cannot take corresponding preventive measures in time. In order to improve the data security transmission performance of the network, it is needy to evaluate the anti-risk index of intelligent networking. At present, most of the internet safety assessment methods are from the perspective of security vulnerabilities. By scanning whether there are some known vulnerabilities in the network, the corresponding assessment results and solutions are given. In this paper, an intelligent network anti-risk index assessment system based on improved machine learning algorithm is proposed. Through this system, the internet safety situation is predicted, and then the algorithm model of internet safety assessment decision system is constructed by using assessment rules. The simulation results show that this method has high accuracy in evaluating the anti-risk index of intelligent networking, strong ability in detecting intrusion information, and improve internet safety.
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Shunkai Wang, Bingjie Liu, and Fan Zhang "Construction of intelligent network anti-risk index evaluation system based on machine learning", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 1277922 (11 September 2023); https://doi.org/10.1117/12.2688713
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KEYWORDS
Internet

Safety

Network security

Computer security

Information security

Machine learning

Data processing

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