Research on Network Routing Security Big Data Monitoring Based on Distributed Computing
Abstract：With the rapid development of the Internet, routing security big data monitoring has become an important means for inter-domain security. Routing security big data is characterized by massive volume and complexity, and its monitoring methods suffer from low efficiency and difficulties in inferring the relationships between autonomous systems. This paper proposes a routing security big data monitoring method based on distributed computing. The method uses the no-sink principle and global probability inference to infer the relationships between autonomous systems, and improves the traditional distributed framework scheduling algorithm. The results show that the proposed method achieves an accuracy rate of 95.45% in inferring the relationships between autonomous systems; compared to the non-scheduling algorithm, the task scheduling runtime of the proposed method is reduced by 15 seconds. The big data monitoring method proposed in this study can effectively solve the task scheduling problems in the monitoring system and improve the system's operational efficiency.
Keywords：Distributed computingRouting securityBig dataMonitoringInternet
Publication Date：2025-02-27
Pages：3( 23-25 )