A data owner outsourcing the database of a multi user application wants to prevent information leaks caused by outside attackers exploiting software vulnerabilities or by curious personnel. Query processing over encrypted data solves this problem for a single user, but provides only limited functionality in the face of access restrictions for multiple users and keys. ENKI is a system for securely executing queries over sensitive, access restricted data on an outsourced database. It introduces an encryption based access control model and techniques for query execution over encrypted, access restricted data on the database with only a few cases requiring computations on the client. A prototype of ENKI supports all queries seen in three real world use cases and executes queries from TPC-C benchmark with a modest overhead compared to the single user mode.

ENKI : Access Control for Encrypted Query Processing / I. Hang, F. Kerschbaum, E. Damiani - In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of DataNew York : ACM, 2015. - ISBN 978-1-4503-2758-9. - pp. 183-197 (( convegno ACM SIGMOD International Conference on Management of Data tenutosi a Melbourne nel 2015.

ENKI : Access Control for Encrypted Query Processing

E. Damiani
2015

Abstract

A data owner outsourcing the database of a multi user application wants to prevent information leaks caused by outside attackers exploiting software vulnerabilities or by curious personnel. Query processing over encrypted data solves this problem for a single user, but provides only limited functionality in the face of access restrictions for multiple users and keys. ENKI is a system for securely executing queries over sensitive, access restricted data on an outsourced database. It introduces an encryption based access control model and techniques for query execution over encrypted, access restricted data on the database with only a few cases requiring computations on the client. A prototype of ENKI supports all queries seen in three real world use cases and executes queries from TPC-C benchmark with a modest overhead compared to the single user mode.
Database Security; Database Integrity; Database Protection
Settore INF/01 - Informatica
2015
Association for Computing Machinery (ACM)
Association for Computing Machinery's Special Interest Group on Management of Data (SIGMOD)
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/280099
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