Multi-source heterogeneous system security situation deduction based on three-dimensional scenes

Multi-source heterogeneous system security situation deduction based on three-dimensional scenes

연구 분야: Safety

학회: 2024 Sixth International Conference on Next Generation Data-driven Networks (NGDN)

Nowadays, the complexity of multi-source heterogeneous systems brings new challenges for security management of smart cities. These systems include, but are not limited to, traffic management systems, power supply management systems and so on. These multi-source heterogeneous systems collect and transmit data in different ways, providing multiple information resources for smart cities. However, these systems may lack of security measures, which making them vulnerable to attacks and tampering during data transmission and storage. Therefore, the security issues of multi-source heterogeneous systems need to be study. This paper proposed a multi-source heterogeneous data fusion strategy and network data security threat assessment, also with analysis methods to deduce the security situation of multi-source heterogeneous systems in three-dimensional scenes. The experimental results show that the model could enhance the efficiency and reliability of security management for smart cities.