Title
Transparent and Service-Agnostic Monitoring of Encrypted Web Traffic
Abstract
Nowadays, most of Web services are accessed through HTTPS. While preserving user privacy is important, it is also mandatory to monitor and detect specific users’ actions, for instance, according to a security policy. This paper presents a solution to monitor HTTP/2 traffic over TLS. It highly differs from HTTP/1.1 over TLS traffic what makes existing monitoring techniques obsolete. Our solution, H2Classifier, aims at detecting if a user performs an action that has been previously defined over a monitored Web service, but without using any decryption. It is thus only based on passive traffic analysis and relies on random forest classifier. A challenge is to extract representative values of the loaded content associated to a Web page, which is actually customized based on the user action. Extensive evaluations with five top used Web services demonstrate the viability of our technique with an accuracy between 94% and 99%.
Year
DOI
Venue
2019
10.1109/TNSM.2019.2933155
IEEE Transactions on Network and Service Management
Keywords
Field
DocType
Monitoring,Cryptography,Privacy,Google,Web services,Protocols
Web traffic,Traffic analysis,Web page,Cryptography,Computer science,Computer network,Encryption,Security policy,Web service,Random forest
Journal
Volume
Issue
ISSN
16
3
1932-4537
Citations 
PageRank 
References 
3
0.39
0
Authors
5
Name
Order
Citations
PageRank
Pierre-Olivier Brissaud130.39
Jérôme Francçis230.39
Isabelle Chrisment322525.75
Thibault Cholez410011.89
Olivier Bettan541.10