HackerPapers

arXiv:1602.07168cs.CR

ZeroDB white paper

Michael Egorov, MacLane Wilkison

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

ZeroDB is an end-to-end encrypted database that enables clients to operate on (search, sort, query, and share) encrypted data without exposing encryption keys or cleartext data to the database server. The familiar client-server architecture is unchanged, but query logic and encryption keys are pushed client-side. Since the server has no insight into the nature of the data, the risk of data being exposed via a server-side data breach is eliminated. Even if the server is successfully infiltrated, adversaries would not have access to the cleartext data and cannot derive anything useful out of disk or RAM snapshots. ZeroDB provides end-to-end encryption while maintaining much of the functionality expected of a modern database, such as full-text search, sort, and range queries. Additionally, ZeroDB uses proxy re-encryption and/or delta key technology to enable secure, granular sharing of encrypted data without exposing keys to the server and without sharing the same encryption key between users of the database.

arXiv comments
Website of the project: https://www.zerodb.io/
Journal reference
DOI
Subjects
cs.CRCryptography and Security cs.DBDatabases

On Hacker News

Linked by 1 identifiable commenter in 1 comment across 1 thread, from Aug 2016 to Aug 2016. Found in 1 HN submission from Feb 2016 to Feb 2016. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments1 thread

    • Whitepaper from Arxiv describing their scheme for others who like seeing underlying details of security tech: https://arxiv.org/pdf/1602.07168v3.pdf @ ZeroDB developers I know the goal is to have the cloud provider untrusted in this model for storage/processing. However, have…

      nickpsecurityView on HNParent context

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.