## CryptoDB

### Paper: Secure Software Leasing

Authors: Prabhanjan Ananth , UC Santa Barbara Rolando L. La Placa , MIT DOI: 10.1007/978-3-030-77886-6_17 (login may be required) Search ePrint Search Google EUROCRYPT 2021 Formulating cryptographic definitions to protect against software piracy is an important research direction that has not received much attention. Since natural definitions using classical cryptography are impossible to achieve (as classical programs can always be copied), this directs us towards using techniques from quantum computing. The seminal work of Aaronson [CCC'09] introduced the notion of quantum copy-protection precisely to address the problem of software anti-piracy. However, despite being one of the most important problems in quantum cryptography, there are no provably secure solutions of quantum copy-protection known for {\em any} class of functions. We formulate an alternative definition for tackling software piracy, called quantum secure software leasing (QSSL). While weaker than quantum copy-protection, QSSL is still meaningful and has interesting applications in software anti-piracy. We present a construction of QSSL for a subclass of evasive circuits (that includes natural implementations of point functions, conjunctions with wild cards, and affine testers) based on concrete cryptographic assumptions. Our construction is the first provably secure solution, based on concrete cryptographic assumptions, for software anti-piracy. To complement our positive result, we show, based on cryptographic assumptions, that there is a class of quantum unlearnable functions for which QSSL does not exist. In particular, our impossibility result also rules out quantum copy-protection [Aaronson CCC'09] for an arbitrary class of quantum unlearnable functions; resolving an important open problem on the possibility of constructing copy-protection for arbitrary quantum unlearnable circuits.
##### BibTeX
@inproceedings{eurocrypt-2021-30831,
title={Secure Software Leasing},
publisher={Springer-Verlag},
doi={10.1007/978-3-030-77886-6_17},
author={Prabhanjan Ananth and Rolando L. La Placa},
year=2021
}