Dynamic Traffic Anomaly Detection for Broadband Smart Grid Services in Software Defined Networks-Reference-Cited by-同舟云学术

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Dynamic Traffic Anomaly Detection for Broadband Smart Grid Services in Software Defined Networks

Published:2022-06-15 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
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Author:

Li Xiaobo¹,Ma Run¹,Feng Guoli¹,Ha Xinnan¹,Wu Shuang¹,Wang Shengjie¹,Lin Peng²,Zhang Manjun³,Yu Peng³

Affiliation:

1. State Grid Ningxia Electronic Power Co.LTD.,Yinchuan,Ningxia,China

2. Beijing Vectinfo Technologies Co., LTD.,Beijing,China

3. Beijing University of Posts and Telecommunication,State Key Laboratory of Networking and Switching Technology,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828467/9828470/09828714.pdf?arnumber=9828714

Reference10 articles.

1. TCM-KNN scheme for network anomaly detection using feature-based optimizations

2. Early detection of DDoS attacks against SDN controllers

3. Anomaly based intrusion detection using filter based feature selection on KDD-CUP 99

4. A Distribution-Based Approach to Anomaly Detection and Application to 3G Mobile Traffic

5. A Detection Method for Anomaly Flow in Software Defined Network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Abnormal flow detection using Optimized ABFlow Network in SDN based Smart Grid Application;2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE);2022-12-16

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