Title | Research on Network Security Protection System Based on Computer Big Data Era |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Lu, Xiuyun, Zhao, Wenxing, Zhu, Yuquan |
Conference Name | 2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) |
Keywords | Big Data, big data security in the cloud, Collaboration, computer, data encryption, edge-cloud collaboration, Hardware, Internet, Load management, Metrics, Network security, Optics, pubcrawl, resilience, Resiliency, Scalability, Software |
Abstract | This paper designs a network security protection system based on artificial intelligence technology from two aspects of hardware and software. The system can simultaneously collect Internet public data and secret-related data inside the unit, and encrypt it through the TCM chip solidified in the hardware to ensure that only designated machines can read secret-related materials. The data edge-cloud collaborative acquisition architecture based on chip encryption can realize the cross-network transmission of confidential data. At the same time, this paper proposes an edge-cloud collaborative information security protection method for industrial control systems by combining end-address hopping and load balancing algorithms. Finally, using WinCC, Unity3D, MySQL and other development environments comprehensively, the feasibility and effectiveness of the system are verified by experiments. |
DOI | 10.1109/TOCS56154.2022.10015964 |
Citation Key | lu_research_2022 |