Machine Learning-Based DDoS Attack Detection in Software-Defined Networking

Detection and Mitigation Distribution Denial of Service Attack Based on Blockchain Concept

“…One such way is network-based detection techniques whereby network traffic is monitored, and abnormal patterns of this traffic are identified. Another one is traffic analysis which is considered one of the network-based approaches [11,13,14]. Additionally, machine learning and artificial intelligence techniques are widely used today to detect distributed denialof-service attacks, in addition to blockchain technology [2,4,15,16].…”

Performance evaluation of RYU controller under distributed denial of service attacks

“…Software-defined networking has drawn a lot of interest as a way to get around the drawbacks of conventional distributed networks. It has a number of benefits, but the separation of the control plane and data plane-which makes the network infrastructure more flexible and controllable-is its main advantage [1], [2]. Although software-defined networking (SDN) represents a promising future network architecture, distributed denial of service (DDoS) attacks can exploit its centralized configuration settings.…”