Detection and Control of Anomaly Network Data Flows
Zhang Wenfang, Chi Xu · 2012
Data flows is a type of dynamic data. After the detection of anomaly data flows, the next problem is how to control these anomaly data flows effectively and prevent network jam. Router queue management is an effective method of controlling anomaly data flows. When network is busy router can prevent it by active droppings. The characters of unresponsive of network congestion control and high-bandwidth were researched deeply to explore the malicious flow effects on the large-scale network. After that, experiments were implemented to present the network congestion collapse resulted from malicious flows and its influences on the network resource allocations.