Hybrid traffic security shaping scheme combining TAS and CQSF of time-sensitive networks in smart grid

EURASIP Journal on Wireless Communications and Networking

Research

Qingrui Zhang¹  Ruochen Bian¹  Lili Sun¹  Hongting Zhai¹  Qi Zhai¹  Yantong Zhang¹  Xinxin He²  Ruilin Tang² 

[1] Company of Information & Telecommunications and State Grid Shandong Electric Power, 250000, Jinan, China;University of Posts and Telecommunications, 100000, Beijing, China;

关键词: Time-sensitive Network;    Encryption;    Time-aware shaper;    Cycle specified queuing and forwarding;    Traffic scheduling;   

DOI  :  10.1186/s13638-023-02278-9

 received in 2023-06-10, accepted in 2023-07-17,  发布年份 2023

来源: Springer

【 摘 要 】

The new intelligent factory introduces Time-Sensitive Network into industrial Ethernet to provide real time and deterministic guarantee communication for production system. Since the problem pertaining to data leakage or damage during transmission has increasingly become pronounced, security protection technology has been introduced, but this technology will bring about a delay in user response and a decline in the quality of service. Meanwhile, ensuring the deterministic mixed transmission of time-sensitive and large-bandwidth data traffic supported by the same switching device is a still challenging problem. Therefore, this study proposes a hybrid security scheduling scheme which combines Time-Aware Shaper and cycle specified queuing and forwarding (CSQF). Specifically, the mechanism first adopts various encryption methods for different traffic, and afterward, it reduces its resource occupation by adjusting the sampling period of the time-sensitive traffic. At the same time, it adopts CSQF to schedule the large-bandwidth data traffic, thereby improving the scheduling success rate. According to the experimental results, this scheme enhances network security and network scheduling success rate by up to 51%. The scheduling of mixed traffic in the Time-sensitive Network is realized securely and efficiently.

【 授权许可】

CC BY   
© Springer Nature Switzerland AG 2023

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