BamHash: a checksum program for verifying the integrity of sequence data

Óskarsdóttir, Arna; Másson, Gísli; Melsted, Páll

doi:10.1101/015867

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…In the existing literature, several works specialize in the challenges imposed by the above use cases but provide only partial solutions by either addressing privacy [12], [32], [40], [41], [72], [73], or integrity [22], [37], [83], [86]. The handful of works addressing both challenges require significant modifications to existing hardware or software infrastructures.…”

Section: Introductionmentioning

confidence: 99%

Privacy and Integrity Preserving Computations with CRISP

Chatel¹,

Pyrgelis²,

Troncoso-Pastoriza³

et al. 2020

Preprint

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In the digital era, users share their personal data with service providers to obtain some utility, e.g., access to high-quality services. Yet, the induced information flows raise privacy and integrity concerns. Consequently, cautious users may want to protect their privacy by minimizing the amount of information they disclose to curious service providers. Service providers are interested in verifying the integrity of the users' data to improve their services and obtain useful knowledge for their business. In this work, we present a generic solution to the trade-off between privacy, integrity, and utility, by achieving authenticity verification of data that has been encrypted for offloading to service providers. Based on lattice-based homomorphic encryption and commitments, as well as zero-knowledge proofs, our construction enables a service provider to process and reuse third-party signed data in a privacy-friendly manner with integrity guarantees. We evaluate our solution on different use cases such as smart-metering, disease susceptibility, and locationbased activity tracking, thus showing its promising applications. Our solution achieves broad generality, quantum-resistance, and relaxes some assumptions of state-of-the-art solutions without affecting performance.

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