DocumentCode :
3667591
Title :
Experimental evaluation of privacy-preserving aggregation schemes on planetlab
Author :
Francesco Randazzo;Daniele Croce;Ilenia Tinnirello;Cettina Barcellona;Maria Luisa Merani
Author_Institution :
Dipartimento Energia, Ingegneria dell´Informazione e Modelli Matematici, University of Palermo, Italy
fYear :
2015
Firstpage :
379
Lastpage :
384
Abstract :
New pervasive technologies often reveal many sensitive information about users´ habits, seriously compromising the privacy and sometimes even the personal security of people. To cope with this problem, researchers have developed the idea of privacy-preserving data mining which refers to the possibility of releasing aggregate information about the data provided by multiple users, without any information leakage about individual data. These techniques have different privacy levels and communication costs, but all of them can suffer when some users´ data becomes inaccessible during the operation of the privacy preserving protocols. It is thus interesting to validate the applicability of such architectures in real-world scenarios. In this paper we experimentally evaluate two promising privac-preserving techniques on PlanetLab, analyzing the execution time and the failure rate that each scheme exhibits.
Keywords :
"Peer-to-peer computing","Servers","Data privacy","Protocols","Cryptography","Artificial neural networks"
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2015 International
Type :
conf
DOI :
10.1109/IWCMC.2015.7289113
Filename :
7289113
Link To Document :
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