Title :
Searching in the dark: A framework for authenticating unknown users in online social networks
Author :
Lingjun Li ; Xinxin Zhao ; Guoliang Xue
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
Abstract :
Authenticating users in online social networks (OSNs) is different from traditional authentication, because the participants in the authentication may not share any prior secret information. In this paper, we propose a decentralized authentication framework to help users authenticate unknown users in an OSN. In our framework, a user requests certificates from other trusted users to prove his identity in authentication. However, collecting certificates is constrained by the fact that trust is usually attritted with the length of a trust chain. Considering this constraint, our framework utilizes a decentralized online learning approach to help users collect more certificates. We further prove that the number of the collected certificates by each user using our protocols is close to optimum.
Keywords :
learning (artificial intelligence); message authentication; social networking (online); OSN; certificate collection; decentralized authentication framework; decentralized online learning approach; online social networks; secret information; trust chain length; unknown user authentication;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2012.6503197