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.
Original language | English |
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Title of host publication | Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2007 |
Pages | 196-202 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 2008 |
Event | IEEE Computer Society Technical Committee on Intelligent Informatics(TCII) - Fremont, CA Duration: 2007 Nov 2 → 2007 Nov 5 |
Other
Other | IEEE Computer Society Technical Committee on Intelligent Informatics(TCII) |
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City | Fremont, CA |
Period | 07/11/2 → 07/11/5 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Software