Research Article
Network Security Protection Evaluation Method Based on Multi-source Information Fusion
@INPROCEEDINGS{10.1007/978-3-031-96944-7_17, author={Mingfei Zeng and Lina Chen and Siwei Li and Chunzhi Meng}, title={Network Security Protection Evaluation Method Based on Multi-source Information Fusion}, proceedings={Computer and Information Security. First World Conference, WCCIS 2024, Kuala Lumpur, Malaysia, September 20--22, 2024, Proceedings}, proceedings_a={WCCIS}, year={2026}, month={11}, keywords={Multi-source Information Network Security Protection Evaluation Information Fusion}, doi={10.1007/978-3-031-96944-7_17} }- Mingfei Zeng
Lina Chen
Siwei Li
Chunzhi Meng
Year: 2026
Network Security Protection Evaluation Method Based on Multi-source Information Fusion
WCCIS
Springer
DOI: 10.1007/978-3-031-96944-7_17
Abstract
To enhance the precision and comprehensiveness of network security situation assessment, this paper proposes a network security situation assessment algorithm based on the Hadoop platform to address the shortcomings of traditional hierarchical analysis methods in network security situation assessment. The method employs Long Short-Term Memory (LSTM) networks to analyze data from multiple sources in order to extract data features, which are then classified using the Random Forest algorithm. Additionally, the algorithm is deployed in a Hadoop parallel cluster to achieve data fusion. This method effectively improves prediction performance, enhances the quality of network security situation assessment, and provides technical support for the development of network security.