Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges

By Qiao Yan, F. Yu, Qingxiang Gong, Jian-qiang Li. IEEE Communications Surveys and Tutorials, 2016

747 citations recorded by the source corpus.

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Survey on Network Virtualization Hypervisors for Software Defined Networking (2015, background): “An instrumentation and analytics framework for virtualized networks has been outlined in [48] while convergence mechanisms for networking and cloud computing have been surveyed in [23], [49].”
Distributed denial of service (DDoS) resilience in cloud: Review and conceptual cloud DDoS mitigation framework (2016, methodology): “A number of DDoS defenses for cloud computing proposed recently were based on software defined network (SDN) Yan et al [99] reviewed recent SDN literature and the potential of using SDN to defeat DDoS attacks targeting cloud computing.”
A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges (2019, background): “[50] have researched on Distributed Denial of Service (DDoS) attacks in SDN-based cloud computing systems, and discussed future research challenges.”
Hybrid SDN Networks: A Survey of Existing Approaches (2018, background): “presented in [43], [71], [73], and [74].”
Survey on SDN based network intrusion detection system using machine learning approaches (2018, methodology): “Thus, SDN increases the service scalability in cloud environments [37].”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “For example, several SDN-based strategies have been implemented to timely detect DDoS attacks [119], [120].”