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Paper 2018/501
Secure Grouping and Aggregation with MapReduce
Radu Ciucanu and Matthieu Giraud and Pascal Lafourcade and Lihua Ye
Abstract
MapReduce programming paradigm allows to process big data sets in parallel on a large cluster. We focus on a scenario where the data owner outsources her data on an honest-but-curious server. Our aim is to evaluate grouping and aggregation with SUM, COUNT, AVG, MIN, and MAX operations for an authorized user. For each of these five operations, we assume that the public cloud provider and the user do not collude i.e., the public cloud does not know the secret key of the user. We prove the security of our approach for each operation.
Metadata
- Available format(s)
- -- withdrawn --
- Category
- Cryptographic protocols
- Publication info
- Published elsewhere. Minor revision. Secrypt 2018
- Keywords
- database queriesmapreducegroupingaggregation
- Contact author(s)
- matthieu giraud @ uca fr
- History
- 2019-12-02: withdrawn
- 2018-05-26: received
- See all versions
- Short URL
- https://ia.cr/2018/501
- License
-
CC BY