Name
Title | ||
|---|---|---|
Survey of approaches and features for the identification of HTTP-based botnet traffic. |
Abstract | ||
|---|---|---|
Botnet use is on the rise, with a growing number of botmasters now switching to the HTTP-based C&C infrastructure. This offers them more stealth by allowing them to blend in with benign web traffic. Several works have been carried out aimed at characterising or detecting HTTP-based bots, many of which use network communication features as identifiers of botnet behaviour. In this paper, we present a survey of these approaches and the network features they use in order to highlight how botnet traffic is currently differentiated from normal traffic. We classify papers by traffic types, and provide a breakdown of features by protocol. In doing so, we hope to highlight the relationships between features at the application, transport and network layers. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jnca.2016.10.007 | Journal of Network and Computer Applications |
Keywords | Field | DocType |
Bot,Botnet traffic,Network analysis,Feature analysis,Network-based detection | Web traffic,World Wide Web,Identifier,Network communication,Botnet,Computer science,Computer network,Network analysis,Pattern recognition (psychology) | Journal |
Volume | ISSN | Citations |
76 | 1084-8045 | 7 |
PageRank | References | Authors |
0.52 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dilara Acarali | 1 | 8 | 0.87 |
| Muttukrishnan Rajarajan | 2 | 593 | 61.50 |
| Nikos Komninos | 3 | 208 | 16.34 |
| Ian Herwono | 4 | 13 | 2.65 |