Research Article
Security Awareness Method of Opportunistic Network Routing Protocol Based on Deep Learning and Knowledge Graph
@INPROCEEDINGS{10.1007/978-3-031-50577-5_12, author={Yan Zhao and Xucheng Wan}, title={Security Awareness Method of Opportunistic Network Routing Protocol Based on Deep Learning and Knowledge Graph}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III}, proceedings_a={ICMTEL PART 3}, year={2024}, month={2}, keywords={Deep Learning; Knowledge Graph Opportunistic Networks D2RQ Tools Routing Protocol Security Awareness}, doi={10.1007/978-3-031-50577-5_12} }- Yan Zhao
Xucheng Wan
Year: 2024
Security Awareness Method of Opportunistic Network Routing Protocol Based on Deep Learning and Knowledge Graph
ICMTEL PART 3
Springer
DOI: 10.1007/978-3-031-50577-5_12
Abstract
In the opportunistic network, the security of the routing protocol operation is low, so we design a security awareness method of the opportunistic network routing protocol based on deep learning and knowledge graph. Design a data acquisition platform to implement the data acquisition of opportunistic network routing protocol. The platform can be divided into four functional modules: data acquisition, data analysis, human-computer interaction interface and system management. The steps of building ontology structure, entity extraction, knowledge reasoning, and knowledge graph storage build routing protocol knowledge graph. An opportunistic network routing protocol intrusion detection method based on DCAEs is designed to realize the security awareness of opportunistic network routing protocols. The test results show that the security perception accuracy of this method is stable at 0.96 after running for a period of time, and the overall security perception accuracy is relatively high.
