Detection of Denial-of-Service Attacks in Software-Defined Networking Based on Traffic Classification using Deep learning
Author:
Affiliation:
1. University of Tehran,Department of Electrical and Computer Engineering,Tehran,Iran
2. An e-Institute of Higher Education,Department of Computer Iranians University,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10496570/10496596/10496641.pdf?arnumber=10496641
Reference37 articles.
1. InSDN: A Novel SDN Intrusion Dataset
2. Security of Networks Using Efficient Adaptive Flow Counting for Anomaly Detection in SDN
3. Towards an Efficient DDoS Detection Scheme for Software-Defined Networks
4. A deep learning based DDoS detection system in software-defined networking (SDN);Niyaz;arXiv:1611.07400,2016
5. SGS: Safe-Guard Scheme for Protecting Control Plane Against DDoS Attacks in Software-Defined Networking
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