DDoS attack identification based on SDN

Author:

Dobrin Dobrev1,Dimiter Avresky2

Affiliation:

1. TU -Sofia,Sofia,Bulgaria

2. IRIANC,Munich,Germany

Publisher

IEEE

Reference22 articles.

1. FRESCO: Modular composable security services for software defined networks;shin;Proceedings of the 20th Annual Network and Distributed System Security Symposium (NDSS'13),2013

2. Enabling security functions with SDN: A feasibility study

3. OpenFlow

4. Identification and Selection of Flow Features for Accurate Traffic Classification in SDN;da silva;IEEE International Symposium on Network Computing and Applications,2015

5. SDN-based network security functions for effective DDoS attack mitigation

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1. Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions;Journal of Network and Computer Applications;2023-10

2. DDoS Attack Detection Based on Information Entropy Feature Extraction in Software Defined Networks;2023 International Conference on Networking and Network Applications (NaNA);2023-08

3. An automatic IP falsifying attacks detection using hop count filtering and round-trip time;PHYSICAL MESOMECHANICS OF CONDENSED MATTER: Physical Principles of Multiscale Structure Formation and the Mechanisms of Nonlinear Behavior: MESO2022;2023

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