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https://biblio.ugent.be/public...
Part of book or chapter of book
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https://doi.org/10.1007/117841...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
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Opaque Predicates Detection by Abstract Interpretation

Authors: DALLA PREDA, Mila; Matias Madou; Koen De Bosschere; GIACOBAZZI, Roberto;

Opaque Predicates Detection by Abstract Interpretation

Abstract

Code obfuscation and software watermarking are well known techniques designed to prevent the illegal reuse of software. Code obfuscation prevents malicious reverse engineering, while software watermarking protects code from piracy. An interesting class of algorithms for code obfuscation and software watermarking relies on the insertion of opaque predicates. It turns out that attackers based on a dynamic or an hybrid static-dynamic approach are either not precise or time consuming in eliminating opaque predicates. We present an abstract interpretation-based methodology for removing opaque predicates from programs. Abstract interpretation provides the right framework for proving the correctness of our approach, together with a general methodology for designing efficient attackers for a relevant class of opaque predicates. Experimental evaluations show that abstract interpretation based attacks significantly reduce the time needed to eliminate opaque predicates.

Countries
Italy, Belgium
Related Organizations
Keywords

opaque predicates; abstract interpretation; static analysis; code obfuscation; software watermarking, Technology and Engineering

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    36
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Average
Green