Ecole d'ingénieur et centre de recherche en Sciences du numérique

Private and dynamic time-series data aggregation with trust relaxation

Leontiadis, Iraklis; Elkhiyaoui, Kaoutar; Molva, Refik

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.

Document Doi Bibtex

Titre:Private and dynamic time-series data aggregation with trust relaxation
Mots Clés:Data aggregation, privacy, time-series data
Type:Conférence
Langue:English
Ville:Heraklion
Pays:GRÈCE
Date:
Département:Sécurité numérique
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
Bibtex: @inproceedings{EURECOM+4373, doi = {http://dx.doi.org/10.1007/978-3-319-12280-9_20}, year = {2014}, title = {{P}rivate and dynamic time-series data aggregation with trust relaxation}, author = {{L}eontiadis, {I}raklis and {E}lkhiyaoui, {K}aoutar and {M}olva, {R}efik}, booktitle = {{CANS} 2014, 13th {I}nternational {C}onference on {C}ryptology and {N}etwork {S}ecurity, 22-24 {O}ctober 2014, {H}eraklion, {C}rete, {G}reece / {A}lso published in {L}ecture {N}otes in {C}omputer {S}cience, {V}olume 8813/2014}, address = {{H}eraklion, {GR}{\`{E}}{CE}}, month = {10}, url = {http://www.eurecom.fr/publication/4373} }
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