Research Article
Network Information Security Risk Assessment Method Based on Machine Learning Algorithm
@INPROCEEDINGS{10.1007/978-3-031-28867-8_30, author={Ruirong Jiang and Liyong Wan}, title={Network Information Security Risk Assessment Method Based on Machine Learning Algorithm}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={Machine learning Network information Security risk Risk assessment Security defense Security risks}, doi={10.1007/978-3-031-28867-8_30} }- Ruirong Jiang
Liyong Wan
Year: 2023
Network Information Security Risk Assessment Method Based on Machine Learning Algorithm
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_30
Abstract
The current computer network information security risk assessment methods have the problems of low assessment accuracy, which seriously restricts the assessment effect. In order to solve this problem and improve the effect of network information security risk assessment and the level of network information security, this paper designs a network information security risk assessment method based on network learning algorithm. Describe the risk calculation form, extract the performance characteristics of network information, identify the network risk factors, draw conclusions according to logical reasoning, adopt computer network risk control and defense measures, use machine learning algorithm to build a security system model, and optimize the security risk assessment mode. The experimental results prove that the highest accuracy rate of the network information security risk assessment method is 95.612%, indicating that the network information security risk assessment method is more practical after combining the machine learning algorithm.
