NDLI: Abstract Symbolic Automata: Mixed syntactic/semantic similarity analysis of executables

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Abstract Symbolic Automata: Mixed syntactic/semantic similarity analysis of executables

Content Provider	ACM Digital Library
Author	Lakhotia, Arun Dalla Preda, Mila Giacobazzi, Roberto Mastroeni, Isabella
Abstract	We introduce a model for mixed syntactic/semantic approximation of programs based on symbolic finite automata (SFA). The edges of SFA are labeled by predicates whose semantics specifies the denotations that are allowed by the edge. We introduce the notion of abstract symbolic finite automaton (ASFA) where approximation is made by abstract interpretation of symbolic finite automata, acting both at syntactic (predicate) and semantic (denotation) level. We investigate in the details how the syntactic and semantic abstractions of SFA relate to each other and contribute to the determination of the recognized language. Then we introduce a family of transformations for simplifying ASFA. We apply this model to prove properties of commonly used tools for similarity analysis of binary executables. Following the structure of their control flow graphs, disassembled binary executables are represented as (concrete) SFA, where states are program points and predicates represent the (possibly infinite) I/O semantics of each basic block in a constraint form. Known tools for binary code analysis are viewed as specific choices of symbolic and semantic abstractions in our framework, making symbolic finite automata and their abstract interpretations a unifying model for comparing and reasoning about soundness and completeness of analyses of low-level code.
Starting Page	329
Ending Page	341
Page Count	13
File Format	MPEG PDF
ISBN	9781450333009
DOI	10.1145/2676726.2676986
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-01-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Symbolic automata Abstract interpretation
Content Type	Text Video
Resource Type	Article

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