Network Abnormal Flow Behavior Detection Based on BF Algorithm
Yan Fa-we · Jisuanji gongcheng · 2013
In allusion to hazards of the Internet abnormal flow,such as Web content is difficult to manage,swallowed network bandwidth,and the spread of the virus continues to expand,this paper puts forward the detection method combining Bloom Filter(BF) algorithm with several abnormal flow behavior.It analyzes the BF algorithm,sampling method and common abnormal flow behavior in Peer-to-Peer(P2P) network,and detects the flow based on the combination of the BF high space efficiency and sampling method,and counts these flow behaviors in order to detect and control abnormal flow effectively.Experimental results show that the method accelerates the detection speed,and improves the accuracy.