Security of Networks Using Efficient Adaptive Flow Counting for Anomaly Detection in SDN

Author:

Garg Gagandeep,Garg Roopali

Publisher

Springer India

Cited by 5 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. Detection of Denial-of-Service Attacks in Software-Defined Networking Based on Traffic Classification using Deep learning;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29

2. An empirical study for the traffic flow rate prediction-based anomaly detection in software-defined networking: a challenging overview;Social Network Analysis and Mining;2023-04-18

3. A Review of Intrusion Detection Techniques in the SDN Environment;2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC);2021-11-23

4. A survey and classification of the security anomaly detection mechanisms in software defined networks;Cluster Computing;2020-09-18

5. Software-Defined Networking (SDN): the security review;Journal of Cyber Security Technology;2019-08-08

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