Research Article
Dynamic Monitoring System of Big Data Leakage in Mobile Network Based on Internet of Things
@INPROCEEDINGS{10.1007/978-3-030-67871-5_13, author={Yan-ning Zhang and Ying-jian Kang}, title={Dynamic Monitoring System of Big Data Leakage in Mobile Network Based on Internet of Things}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I}, proceedings_a={ADHIP}, year={2021}, month={2}, keywords={Internet of Things Mobile network Big data leakage Dynamic monitoring}, doi={10.1007/978-3-030-67871-5_13} }- Yan-ning Zhang
Ying-jian Kang
Year: 2021
Dynamic Monitoring System of Big Data Leakage in Mobile Network Based on Internet of Things
ADHIP
Springer
DOI: 10.1007/978-3-030-67871-5_13
Abstract
Aiming at the problem of large acquisition time synchronization error caused by data explosion in traditional monitoring systems, a dynamic monitoring system for mobile network big data leakage based on Internet of Things is designed. The wireless sensor network is arranged in the system, the multi-channel base station node is designed, and the sensors are arranged in different channels to achieve the purpose of data diversion. Ep3c16q240 chip is selected as the core control chip of the multi-channel base station node, Based on the above hardware design, cluster monitoring, node performance monitoring and job operation monitoring functions are designed to upload the big data status information of the mobile network for job operation monitoring step by step to meet the needs of dynamic monitoring of data leakage. So far the overall design of the system is completed. The experimental results show that: compared with the traditional monitoring system, the designed monitoring system based on the Internet of things has smaller acquisition time synchronization error, better data acquisition synchronization performance, and improves the dynamic monitoring accuracy of mobile network big data leakage.
