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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Trifunovic, S. Legendre, F. Anastasiades, C. |
| Copyright Year | 2010 |
| Abstract | Opportunistic networks enable mobile users to participate in various social interactions with applications such as content distribution and micro-blogs. Because of their distributed nature, securing user interactions relies rather on trust than hard cryptography. Trust is often based on past user interactions such as in reputation systems relying on ratings. Yet, a more fundamental trust, social trust - assessing a user is genuine with honest intentions - must be established beforehand as many identities can be created easily (i.e., sybils). By leveraging the social network structure and its dynamics (conscious secure pairing and wireless contacts), we propose two complementary approaches for social trust establishment: explicit social trust and implicit social trust. Complexity, trust propagation and security issues are evaluated using real world complex graphs, synthetic mobility models and mobility traces. We show how our approach limits the maximum number of sybils independently of the network size and is more robust against manipulation attacks compared to state-of-the-art approaches such as PGP- like certification chains and distributed community detection algorithms. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 174076 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424467396 |
| e-ISBN | 9781424467396 |
| DOI | 10.1109/INFCOMW.2010.5466696 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Social network services Peer to peer computing Laboratories Communications Society Robustness Computer networks Cryptography Communication system security Detection algorithms Distributed computing |
| Content Type | Text |
| Resource Type | Article |
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