Abstract
In this paper, we explore a novel approach to perform a probabilistic fast analysis of web communications. Instead of relying on pattern matching algorithms, we look at simple network and transport level parameters and try to infer what happens at the application level. Our approach provides the ability to perform a trade-off between analysis speed and precision that could prove useful for some traffic analysis applications.
| Original language | English |
|---|---|
| Pages (from-to) | 1435-1439 |
| Number of pages | 5 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3462 |
| DOIs | |
| Publication status | Published - 1 Jan 2005 |
| Externally published | Yes |
| Event | 4th International IFIP-TC6 Networking Conference: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems, NETWORKING 2005 - Waterloo, Ont., Canada Duration: 2 May 2005 → 6 May 2005 |