Skip to Main content Skip to Navigation
New interface
Conference papers

A Multi-Level Framework to Identify HTTPS Services

Wazen M. Shbair 1 Thibault Cholez 1 Jérôme François 1 Isabelle Chrisment 1 
1 MADYNES - Management of dynamic networks and services
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
Abstract : The development of TLS-based encrypted traffic comes with new challenges related to the management and security analysis of encrypted traffic. There is an essential need for new methods to investigate, with a proper level of identification, the increasing number of HTTPS traffic that may hold security breaches. In fact, although many approaches detect the type of an application (Web, P2P, SSH, etc.) running in secure tunnels, and others identify a couple of specific encrypted web pages through website fingerprinting, this paper proposes a robust technique to precisely identify the services run within HTTPS connections, i.e. to name the services, without relying on specific header fields that can be easily altered. We have defined dedicated features for HTTPS traffic that are used as input for a multi-level identification framework based on machine learning algorithms. Our evaluation based on real traffic shows that we can identify encrypted web services with a high accuracy.
Document type :
Conference papers
Complete list of metadata

Cited literature [29 references]  Display  Hide  Download
Contributor : Thibault Cholez Connect in order to contact the contributor
Submitted on : Saturday, April 30, 2016 - 5:34:13 PM
Last modification on : Thursday, January 20, 2022 - 5:26:11 PM
Long-term archiving on: : Tuesday, November 15, 2016 - 6:35:23 PM


Files produced by the author(s)




Wazen M. Shbair, Thibault Cholez, Jérôme François, Isabelle Chrisment. A Multi-Level Framework to Identify HTTPS Services. IEEE/IFIP Network Operations and Management Symposium (NOMS 2016), IEEE/IFIP, Apr 2016, Istanbul, Turkey. p240-248, ⟨10.1109/NOMS.2016.7502818⟩. ⟨hal-01273160⟩



Record views


Files downloads