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Contribution for newspaper or weekly magazine . 2016
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https://doi.org/10.1109/csf.20...
Article . 2016 . Peer-reviewed
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DBLP
Conference object . 2023
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Secure Software Licensing: Models, Constructions, and Proofs

Authors: Costea, Sergiu; Warinschi, Bogdan;

Secure Software Licensing: Models, Constructions, and Proofs

Abstract

The problem of secure software licensing is to enforce meaningful restrictions on how software is run on machines outside the control of the software author/vendor. The problem has been addressed through a variety of approaches from software obfuscation to hardware-based solutions, but existent solutions offer only heuristic guarantees which are often invalidated by attacks. This paper establishes foundations for secure software licensing in the form of rigorous models. We identify and formalize two key properties. Privacy demands that licensed software does not leak unwanted information, and integrity ensures that the use of licensed software is compliant with a license -- the license is a parameter of our models. Our formal definitions and proposed constructions leverage the isolation/attestation capabilities of recently proposed trusted hardware like SGX which proves to be a key enabling technology for provably secure software licensing.

Country
United Kingdom
Keywords

Licenses, Hardware, Mathematical model, Privacy, Cryptography, Software, 004

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    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).
    2
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
2
Average
Average
Average
Green