Paper
19 May 2022 A self-secure system based on software-defined network
Xian Jiang, Weixuan Zhong, Yanshang Yin, Ligang Dong, Jingsong Zhang, Yuemin Wei
Author Affiliations +
Proceedings Volume 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022); 122500Z (2022) https://doi.org/10.1117/12.2639591
Event: International Symposium on Computer Applications and Information Systems (ISCAIS2022), 2022, Shenzhen, China
Abstract
Software Defined Network (SDN) redefines and abstracts the functions of the control layer, forwarding layer, and application layer of network devices, making network device software programmable, better supporting dynamic control of network traffic, and making up for the natural defects of traditional networks. Now it has been adopted in many application fields. Therefore, the security of SDN has also received more and more attention. The research on self-secure SDN has become vital important. Self-secure SDN can ensure its own security, not only actively detect network attacks, but also effectively predict and defend attacks. This paper designs a self-secure system based on software-defined network. The system mainly includes three functional modules: 5G user classification, application identification and abnormal traffic detection. Through the system designed in this paper, we can not only view the traffic and user information of the network loaded with this software-defined network-based self-secure system, but also enable or disable these traffic and users. After testing, the system designed in this paper is of great help to the improvement of the security of a software-defined network.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xian Jiang, Weixuan Zhong, Yanshang Yin, Ligang Dong, Jingsong Zhang, and Yuemin Wei "A self-secure system based on software-defined network", Proc. SPIE 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022), 122500Z (19 May 2022); https://doi.org/10.1117/12.2639591
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KEYWORDS
Network security

Networks

Classification systems

Network architectures

Data mining

Information security

Computer security

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