Title :
Filling the P2P Network with White Lies to Make It Anonymous
Author :
Iguchi, Makoto ; Goto, Shigeki
Author_Institution :
France Telecom Japan Co. Ltd., Tokyo
Abstract :
This paper explores a method to realize an anonymity- conscious P2P data sharing network. The proposed network lets users extract other users\´ data that match the users\´ profiles, thereby providing them a collaborative filtering-based data recommendation. Our proposal realizes such a recommendation scheme without forcing the users to disclose their profiles. Our method intentionally fills the network with "white lies," whereby bogus user profiles are distributed throughout the network to protect users\´ anonymity without harming the overall effectiveness of the data exchange.
Keywords :
electronic data interchange; information filtering; peer-to-peer computing; anonymity-conscious P2P data sharing network; collaborative filtering-based data recommendation; data exchange; white lies; Collaboration; Data engineering; Data mining; Filling; Intelligent agent; Peer to peer computing; Proposals; Protection; TV; Telecommunications;
Conference_Titel :
Intelligent Agent Technology, 2007. IAT '07. IEEE/WIC/ACM International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3027-7
DOI :
10.1109/IAT.2007.46
