Sybil tolerance and probabilistic databases to compute web services trust

Document Type

Conference Proceeding

Source of Publication

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date

1-1-2015

Abstract

© Springer International Publishing Switzerland 2015. This paper discusses how Sybil attacks can undermine trust management systems and how to respond to these attacks using advanced techniques such as credibility and probabilistic databases. In such attacks end-users have purposely different identities and hence, can provide inconsistent ratings over the same Web Services. Many existing approaches rely on arbitrary choices to filter out Sybil users and reduce their attack capabilities. However this turns out inefficient. Our approach relies on non-Sybil credible users who provide consistent ratings over Web services and hence, can be trusted. To establish these ratings and debunk Sybil users techniques such as fuzzy-clustering, graph search, and probabilistic databases are adopted. A series of experiments are carried out to demonstrate robustness of our trust approach in presence of Sybil attacks.

ISBN

9783319231341

ISSN

0302-9743

Publisher

Springer Verlag

Volume

9282

First Page

458

Last Page

471

Disciplines

Computer Sciences

Keywords

Credibility, Fuzzy clustering, Sybil, Trust, Web service

Scopus ID

84944564960

Indexed in Scopus

yes

Open Access

no

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