NDLI: TreeDroid: a tree automaton based approach to enforcing data processing policies

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TreeDroid: a tree automaton based approach to enforcing data processing policies

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TreeDroid: a tree automaton based approach to enforcing data processing policies

Content Provider	ACM Digital Library
Author	Dam, Mads Lundblad, Andreas Le Guernic, Gurvan
Abstract	Current approaches to security policy monitoring are based on linear control flow constraints such as 'runQuery' may be evaluated only after 'sanitize'. However, realistic security policies must be able to conveniently capture data flow constraints as well. An example is a policy stating that arguments to the function 'runQuery' must be either constants, outputs of a function 'sanitize', or concatenations of any such values. We present a novel approach to security policy monitoring that uses tree automata to capture constraints on the way data is processed along an execution. We present a »-calculus based model of the framework, investigate some of the models meta-properties, and show how it can be implemented using labels corresponding to automaton states to reflect the computational histories of each data item. We show how a standard denotational semantics induces the expected monitoring regime on a simple "while" language. Finally we implement the framework for the Dalvik VM using TaintDroid as the underlying data flow tracking mechanism, and evaluate its functionality and performance on five case studies.
Starting Page	894
Ending Page	905
Page Count	12
File Format	PDF
ISBN	9781450316514
DOI	10.1145/2382196.2382290
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-10-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Policy enforcement Runtime monitoring Tree automata
Content Type	Text
Resource Type	Article

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