Database outsourcing is becoming increasingly popular introducing a new paradigm, called database-as-a-service, where an encrypted client's database is stored at an external service provider. Existing proposals for querying encrypted databases are based on the association, with each encrypted tuple, of additional indexing information obtained from the plaintext values of attributes that can be used in the queries. However, the relationship between indexes and data should not open the door to inference and linking attacks that can compromise the protection granted by encryption

Damiani, E., De Capitani Di Vimercati, S., Foresti, S., Samarati, P., Viviani, M. (2006). Measuring Inference Exposure in Outsourced Encrypted Databases. In Quality Of Protection : Security Measurements and Metrics (pp.185-195) [10.1007/978-0-387-36584-8_15].

Measuring Inference Exposure in Outsourced Encrypted Databases

Damiani, E;Samarati, P;Viviani, M.
2006

Abstract

Database outsourcing is becoming increasingly popular introducing a new paradigm, called database-as-a-service, where an encrypted client's database is stored at an external service provider. Existing proposals for querying encrypted databases are based on the association, with each encrypted tuple, of additional indexing information obtained from the plaintext values of attributes that can be used in the queries. However, the relationship between indexes and data should not open the door to inference and linking attacks that can compromise the protection granted by encryption
slide + paper
Privacy; Security; Fuzzy Logic; Aggregation Operators
English
Computer Security - ESORICS 2005 - European Symposium on Research in Computer Security
2005
Gollmann, D; Massacci, F; Yautsiukhin, A
Quality Of Protection : Security Measurements and Metrics
978-0-387-29016-4
2006
23
185
195
none
Damiani, E., De Capitani Di Vimercati, S., Foresti, S., Samarati, P., Viviani, M. (2006). Measuring Inference Exposure in Outsourced Encrypted Databases. In Quality Of Protection : Security Measurements and Metrics (pp.185-195) [10.1007/978-0-387-36584-8_15].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/174899
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