CANS 2014, 13th International Conference on Cryptology and Network Security, 22-24 October 2014, Heraklion, Crete, Greece / Also published in Lecture Notes in Computer Science, Volume 8813/2014
With the advent of networking applications collecting user data on a massive scale, the privacy of individual users appears to be a major concern. The main challenge is the design of a solution that allows the data analyzer to compute global statistics over the set of individual inputs that are protected by some confidentiality mechanism. Joye et al. [7] recently suggested a solution that allows a centralized party to compute the sum of encrypted inputs collected through a smart metering network. The main shortcomings of this solution are its reliance on a trusted dealer for key distribution and the need for frequent key updates. In this paper we introduce a secure protocol for aggregation of timeseries data that is based on the Joye et al. [7] scheme and in which the main shortcomings of the latter, namely, the requirement for key updates and for the
trusted dealer are eliminated. Moreover our scheme supports a dynamic group management, whereby as opposed to Joye et al. [7] leave and join operations do not trigger a key update at the users.
Type:
Conference
City:
Heraklion
Date:
2014-10-22
Department:
Digital Security
Eurecom Ref:
4373
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in CANS 2014, 13th International Conference on Cryptology and Network Security, 22-24 October 2014, Heraklion, Crete, Greece / Also published in Lecture Notes in Computer Science, Volume 8813/2014 and is available at : http://dx.doi.org/10.1007/978-3-319-12280-9_20
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