An Empirical Study of Information Flows in Real-World JavaScript

Author:

Staicu Cristian-Alexandru1,Schoepe Daniel2,Balliu Musard3,Pradel Michael1,Sabelfeld Andrei2

Affiliation:

1. TU Darmstadt, Darmstadt, Germany

2. Chalmers University of Technology, Gothenburg, Sweden

3. KTH Royal Institute of Technology, Stockholm, Sweden

Funder

German Federal Ministry of Education and Research and the Hessian Ministry of Science and the Arts

Swedish Foundation for Strategic Research (SSF) and Swedish Research Council (VR)

German Research Foundation

Publisher

ACM Press

Reference50 articles.

1. Accessed: 2018-02-08. Babel JavaScript compiler. https://babeljs.io.

2. Gunes Acar, Christian Eubank, Steven Englehardt, Marc Juá rez, Arvind Narayanan, and Claudia D'iaz. 2014. The Web Never Forgets: Persistent Tracking Mechanisms in the Wild. In Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, Scottsdale, AZ, USA, November 3-7, 2014. 674--689.

3. Gunes Acar, Marc Juarez, Nick Nikiforakis, Claudia Diaz, Seda Gürses, Frank Piessens, and Bart Preneel. 2013. FPDetective: dusting the web for fingerprinters. In Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security. ACM, 1129--1140.

4. Thomas H. Austin and Cormac Flanagan. 2009. Efficient purely-dynamic information flow analysis. In Workshop on Programming Languages and Analysis for Security (PLAS 2009). ACM, 113--124.

5. Thomas H. Austin and Cormac Flanagan. 2010. Permissive dynamic information flow analysis. In Workshop on Programming Languages and Analysis for Security (PLAS 2010). ACM, 3.

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