Research Article
Research on Network Information Security Risk Assessment Based on Artificial Intelligence
@INPROCEEDINGS{10.1007/978-3-030-82562-1_55, author={Ya-fei Wang and Wei-na He}, title={Research on Network Information Security Risk Assessment Based on Artificial Intelligence}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2021}, month={7}, keywords={Artificial intelligence Network information Security risk Neural network algorithm Evaluation}, doi={10.1007/978-3-030-82562-1_55} }- Ya-fei Wang
Wei-na He
Year: 2021
Research on Network Information Security Risk Assessment Based on Artificial Intelligence
ICMTEL
Springer
DOI: 10.1007/978-3-030-82562-1_55
Abstract
Fault tree analysis and event tree analysis can not analyze the dynamic information, which leads to the long time and precision of network information security risk assessment based on artificial intelligence. Therefore, based on the risk assessment model of artificial intelligence network information security, by obtaining the dynamic index value, establish the evaluation ideal standard, evaluate the dimensionless processing of dynamic index, realize the processing of dynamic information, and then complete the model reasoning. The information security risk assessment process is designed from the perspectives of risk assessment preparation, asset identification, threat identification, vulnerability identification, confirmation of existing security measures and risk calculation. Experimental results show that the method has the advantages of short evaluation time and high accuracy, and plays a guiding role in the security protection of mobile network information transmission.
