… efficient anomaly detection framework, denoted as DEEPGUARD, which improves the detection
performance of cyberattacks in SDN based … , we leverage the MaxiNet framework [36] to …

… cyberattacks targeting SDN and their mitigation techniques. … efforts on the detection and
mitigation of DDoS attacks in SDN. We … network” AND cyber-attacks), (“software-defined network” …

… This paper mainly aims at faster anomaly detection and mitigation with higher accuracy in both
… Leveraging SDN for efficient anomaly detection and mitigation on legacy networks. In: 3rd …

… the next section, we discuss anomaly detection approaches in SDN. The experiment parameters,
… Leveraging SDN for efficient anomaly detection and mitigation on legacy networks. In …

… networks for both the controllability of a network and anomaly detection, as well as for real-time
intrusion detection… The industry is leveraging the power of cloud computing to ensure that …

… to detect DDoS attacks by the coordination of Monitor, Correlator and Controller. The Monitor
part observes network for anomaly detection and triggers an Intrusion Detection System (…

… It includes two modules: (i) an anomaly detection module that leverages improved
restricted Boltzmann machine and gradient descent-based support vector machine to …

… Our motivation is to develop an efficient anomaly detection system for SDN networks,
mainly based on DL algorithms. To that aim, it is necessary to understand the attack vectors in …

… This article presents a comprehensive review of existing literature that examines the latest
advancements in anomaly detection techniques for identifying security threats in Cyber-…

… This costly communication can be leveraged by an attacker to launch SDN-aimed DoS
attacks (eg, data-to-control plane saturation attacks) [6], [8]. Specifically, the attacker randomly …