DocumentCode :
2079440
Title :
Value-Sensitive Hybrid Information Flow Control for a JavaScript-Like Language
Author :
Hedin, Daniel ; Bello, Luciano ; Sabelfeld, Andrei
fYear :
2015
fDate :
13-17 July 2015
Firstpage :
351
Lastpage :
365
Abstract :
Secure integration of third-party code is one of the prime challenges for securing today´s web. Recent empirical studies give evidence of pervasive reliance on and excessive trust in third-party JavaScript, with no adequate security mechanism to limit the trust or the extent of its abuse. Information flow control is a promising approach for controlling the behavior of third-party code and enforcing confidentiality and integrity policies. While much progress has been made on static and dynamic approaches to information flow control, only recently their combinations have received attention. Purely static analysis falls short of addressing dynamic language features such as dynamic objects and dynamic code evaluation, while purely dynamic analysis suffers from inability to predict side effects in non-performed executions. This paper develops a value-sensitive hybrid mechanism for tracking information flow in a JavaScript-like language. The mechanism consists of a dynamic monitor empowered to invoke a static component on the fly. This enables us to achieve a sound yet permissive enforcement. We establish formal soundness results with respect to the security policy of non-interference. In addition, we demonstrate permissiveness by proving that we subsume the precision of purely static analysis and by presenting a collection of common programming patterns that indicate that our mechanism has potential to provide more permissiveness than dynamic mechanisms in practice.
Keywords :
Context; Monitoring; Performance analysis; Reactive power; Runtime; Security; Semantics; information flow; language-based security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Security Foundations Symposium (CSF), 2015 IEEE 28th
Conference_Location :
Verona, Italy
Type :
conf
DOI :
10.1109/CSF.2015.31
Filename :
7243744
Link To Document :
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