On an Integrated Security Framework for Defense Against Various DDoS Attacks in SDN
Author:
Affiliation:
1. Northwest University,School of Information Science and Technology,Xi’an,Shaanxi,China,710127
2. New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA,07102
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10073968/10073976/10074226.pdf?arnumber=10074226
Reference17 articles.
1. Approach of detecting low-rate dos attack based on combined features;wu;Journal on Communications,2017
2. Oracle: Collaboration of data and control planes to detect DDoS attacks;macías;arXiv preprint arXiv 2009 10019,2020
3. Ensemble learning: A survey
4. Low-rate DDoS attacks detection method using data compression and behavior divergence measurement
5. XGBoost Classifier for DDoS Attack Detection and Analysis in SDN-Based Cloud
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1. Beyond Traditional Boundaries: A Survey of Security Mechanisms in Software-Defined Networks;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22
2. Developing an SDN security model (EnsureS) based on lightweight service path validation with batch hashing and tag verification;Scientific Reports;2023-10-13
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