Cybermetrics: User Identification through Network Flow Analysis

Abstract : Recent studies on user identification focused on behavioral aspects of biometric patterns, such as keystroke dynamics or activity cycles in on-line games. The aim of our work is to identify users through the detection and analysis of characteristic network flow patterns. The transformation of concepts from the biometric domain into the network domain leads to the concept of a cybermetric pattern -- a pattern that identifies a user based on her characteristic Internet activity.
Document type :
Conference papers
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download

https://hal.inria.fr/hal-01056631
Contributor : Hal Ifip <>
Submitted on : Wednesday, August 20, 2014 - 12:22:57 PM
Last modification on : Friday, August 11, 2017 - 4:20:24 PM
Long-term archiving on : Thursday, November 27, 2014 - 11:36:48 AM

File

61550167.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Nikolay Melnikov, Jürgen Schönwälder. Cybermetrics: User Identification through Network Flow Analysis. 4th International Conference on Autonomous Infrastructure, Management and Security (AIMS), Jun 2010, Zurich, Switzerland. pp.167-170, ⟨10.1007/978-3-642-13986-4_24⟩. ⟨hal-01056631⟩

Share

Metrics

Record views

136

Files downloads

554