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  4. Method and system for detecting fake accounts in online social networks

Method and system for detecting fake accounts in online social networks

Title
Method and system for detecting fake accounts in online social networks
Date Issued
2015-02-10
Inventor(s)
Cao, Qiang  
Sirivianos, Michael  
Yang, Xiaowei  
Major Field of Science
Engineering and Technology
Field Category
Electrical Engineering - Electronic Engineering - Information Engineering
Date Issued
February 10, 2015
Link
https://www.google.com/patents/US8955129
URI
https://hdl.handle.net/20.500.14279/10328
Type
Patents
Application
US 13/868,331
Affiliation
Cyprus University of Technology  
Duke University  
Abstract
A system and method for detecting fake accounts in OSNs is proposed to aid the OSN provider 20 against fake users, wherein a social graph G of the OSN, with n nodes, a non-Sybil region GH and a Sybil region GS, is obtained and the following steps are performed:
a trust value T(i)(v) is computed through i power iterations on each node v of the social graph G, i=0, 1, . . . O(log n)
the power iterations distribute the trust value T(i)(v) from each node v to its neighbor nodes,
after O(log n) power iterations, ranking nodes by a degree-normalized trust
T ^ v = T ( w ) ⁡ ( v ) deg ⁡ ( v )
in order to obtain a ranked list of nodes,
detecting fake accounts based on the obtained ranked list
assigning intervals in the ranked list to a fake portion, determined by manual inspection means of the OSN provider, based on the degree-normalized trust of the nodes belonging to the intervals.
Subjects

Detecting fake accoun...

U.S. Classification 7...

Online social network...

International Classif...

Cooperative Classific...

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