An adaptive network traffic prediction approach for LDoS attacks detection

Author:

Zhang Xiaoyu1ORCID,Wu Zhijun1,Zhang Junwei1,Chen Jiusheng1

Affiliation:

1. College of Electronics, Information & Automation; Civil Aviation University of China; Tianjin 300300 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Cited by 15 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. PE-v-SVR based Architecture to Predict and Prevent Low and Slow-Rate DDoS Attacks using Machine Learning;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

2. A Survey on DDoS Detection and Prevention Mechanism;Journal of Advances in Information Technology;2023

3. LSTM-DAM: Malicious Network Traffic Prediction for Cloud Manufacturing System;Edge Computing and IoT: Systems, Management and Security;2023

4. FR-RED: Fractal Residual Based Real-Time Detection of the LDoS Attack;IEEE Transactions on Reliability;2021-09

5. LDoS Attack Detection using PSO and K-means Algorithm;2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2021-05-05

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