Urban Rail Traffic Security Management System Based on Big Data Platform

Urban Rail Traffic Security Management System Based on Big Data Platform

연구 분야: Safety

학회: 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP)

To absorb new technological achievements and realize ecologicalization, digitization, intelligentization, high speed and dynamic energy conversion, the state has been accelerating construction of emerging infrastructure in the latest years, including urban rail traffic, industrial internet, 5G base station, artificial intelligence and big data center. In future development of digital cities, digitization must be available to manage complex system of megacity in high efficiency. However, information security threat is the most serious challenge to digitization. Especially for the significant key infrastructure like urban rail traffic, effective and complete information security management is especially important. This paper focuses on security protection and researches the framework of urban rail traffic security management center based on big data analysis from perspective of technology, management and operation to solve the difficulty of security management center framework design in urban rail traffic digitization process.