A Survey of Threats and Defense Mechanisms in the Control Plane of Polymorphic Smart Network
Open Access
- 11 March 2026
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 564-573
Abstract
No abstract availableFunding Information
- National Key Research and Development Program of China (2024YFB2906504 and 2024YFB2906500)
This publication has 19 references indexed in Scilit:
- Cyber-Secure SDN: A CNN-Based Approach for Efficient Detection and Mitigation of DDoS attacksComputers & Security, 2024
- DDoS attack detection in SDN: Enhancing entropy‐based detection with machine learningConcurrency and Computation: Practice and Experience, 2024
- DDoS attack detection and mitigation using deep neural network in SDN environmentComputers & Security, 2023
- Detecting and mitigating DDoS attacks with moving target defense approach based on automated flow classification in SDN networksComputers & Security, 2023
- DOCUS-DDoS detection in SDN using modified CUSUM with flash traffic discrimination and mitigationComputer Networks, 2022
- A DDoS attack detection and countermeasure scheme based on DWT and auto-encoder neural network for SDNComputer Networks, 2022
- A hybrid method of entropy and SSAE-SVM based DDoS detection and mitigation mechanism in SDNComputers & Security, 2022
- MitM detection and defense mechanism CBNA-RF based on machine learning for large-scale SDN contextJournal of Ambient Intelligence and Humanized Computing, 2020
- Machine learning algorithms to detect DDoS attacks in SDNConcurrency and Computation: Practice and Experience, 2019
- Toward secure software-defined networks against distributed denial of service attackThe Journal of Supercomputing, 2019