Anomaly traffic detection and classification mechanisms need to be flexible and easy to manage in order to detect the ever growing spectrum of anomalies. Detection and …
Along with the rapid growth of computer networks comes the need for automating management functions to prevent errors in decision-making and reduce the cost of ordinary …
A Kamisiński, C Fung - Proceedings of the 2015 Workshop on Automated …, 2015 - dl.acm.org
Software-Defined Networking (SDN) introduces a new communication network management paradigm and has gained much attention recently. In SDN, a network controller overlooks …
D He, S Chan, X Ni, M Guizani - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
Traffic anomaly detection has been a principal direction in the network security field, which aims to identify attacks based on significant deviations from the established normal usage …
Among the leading reference implementations of the Software Defined Networking (SDN) paradigm is the OpenFlow framework, which decouples the control plane into a centralized …
Software Defined Networks (SDNs) are an appealing platform for network security applications. However, existing approaches to building security applications on SDNs are …
Software-Defined Networking (SDN) leverages the implementation of reliable, flexible and efficient network security mechanisms which make use of novel techniques such as artificial …
Software-defined networks (SDNs) allow greater control over network entities by centralizing the control plane, but place great burden on the administrator to manually ensure security …
G Androulidakis, V Chatzigiannakis… - IEEE …, 2009 - ieeexplore.ieee.org
In this article the emphasis is placed on the evaluation of the impact of intelligent flow sampling techniques on the detection and classification of network anomalies. Based on the …