DocumentCode
568993
Title
Privacy-preserving resource evaluation in social networks
Author
Buccafurri, Francesco ; Fotia, Lidia ; Lax, Gianluca
Author_Institution
DIMET, Univ. of Reggio Calabria, Reggio Calabria, Italy
fYear
2012
fDate
16-18 July 2012
Firstpage
51
Lastpage
58
Abstract
In new generation social networks, we expect that the demand of tools allowing the user to effectively control privacy, without relying on the provider trustworthiness, will be more and more increasing. A lot of precious information is currently released by users with no privacy control whenever they evaluate resources, which, for example, is done in Facebook through the “Like Button”. A mechanism allowing the user to express her preferences fully preserving her privacy is thus desired, especially if it is able to protect user privacy also in case of untrustworthy social network provider. In this paper, we propose a solution to this problem, based on a DHT-based P2P social network and on a cryptographic protocol relying on partially blind digital signatures. The protocol is shown to be a solution to the trade-off between feasibility and security, since it guarantees the needed security requirements without including the complex features of existing e-voting systems.
Keywords
cryptographic protocols; data privacy; digital signatures; peer-to-peer computing; social networking (online); user interfaces; DHT-based P2P social network; Facebook; Like Button; cryptographic protocol; partially blind digital signatures; privacy control; privacy-preserving resource evaluation; security requirements; untrustworthy social network provider; user privacy protection; Electronic voting; Encryption; Peer to peer computing; Privacy; Protocols; Social network services;
fLanguage
English
Publisher
ieee
Conference_Titel
Privacy, Security and Trust (PST), 2012 Tenth Annual International Conference on
Conference_Location
Paris
Print_ISBN
978-1-4673-2323-9
Electronic_ISBN
978-1-4673-2325-3
Type
conf
DOI
10.1109/PST.2012.6297919
Filename
6297919
Link To Document