Name
Abstract | ||
|---|---|---|
Internet Background Radiation (IBR) traffic is a kind of abnormal traffic, which is ubiquitous on the Internet. Detecting or filtering out IBR traffic from all traffic is benefit to ensure network security. This paper proposes a novel IBR traffic filtering method based on relative uncertainty theory. It directly filters out IBR traffic from collected Net Flow data without specific configurations or building extra collection system. The key assumption of our approach is that the traffic source of normal users is relatively certain rather than random. The IBR traffic filtered by our approach also includes the part that sent to normal user hosts besides the traffic to unsigned IP, which is more valuable and practical to network security. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EIDWT.2013.70 | EIDWT |
Keywords | Field | DocType |
network measurement,network security,relative uncertainty theory,internet background radiation,flow data,novel method,abnormal traffic,normal user host,net flow data,normal user,ibr traffic detecting method,internet background radiation traffic,traffic analysis,computer network security,novel ibr traffic,filtering internet background radiation,traffic source,internet,ibr traffic filtering method,filtering theory,extra collection system,telecommunication traffic,relative uncertainty,ibr traffic | Traffic generation model,Traffic analysis,Internet traffic engineering,Computer science,Network security,Floating car data,Computer network,Filter (signal processing),Traffic shaping,The Internet | Conference |
ISBN | Citations | PageRank |
978-1-4799-2140-9 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruoyu Wang | 1 | 31 | 7.63 |
| Ling Zhang | 2 | 143 | 14.77 |
| Zhen Liu | 3 | 193 | 36.23 |