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Limiting Sybil Attacks on Bayesian Trust Models in Open SOA Environments

Ries, Sebastian and Aitenbichler, Erwin (2009):
Limiting Sybil Attacks on Bayesian Trust Models in Open SOA Environments.
In: Proceedings of the The First International Symposium on Cyber-Physical Intelligence (CPI-09), IEEE, Brisbane, QLD, pp. 178 - 183, ISBN 978-1-4244-4902-6,
DOI: 10.1109/UIC-ATC.2009.82,
[Conference or Workshop Item]

Abstract

Next generation SOA systems promise to enable an "Internet of Services" - an open environment, in which every participant is not only free to offer and consume services, but also to provide central components of the ecosystem, such as marketplaces and community portals. In such an environment with no or only very little central control, malicious users may try to gain profits by providing low quality services. An approach to solve this issue is to introduce a trust or reputation system, enabling market participants to identify trustworthy parties. An open market does not have access restrictions to the market, hence such systems are likely to be exposed to Sybil attacks. In this paper, we provide a novel approach for aggregating recommendations in the face of Sybil attacks, which allow a single party to try to multiply the influence of its recommendation(s) by creating a high number of seemingly independent entities.

Item Type: Conference or Workshop Item
Erschienen: 2009
Creators: Ries, Sebastian and Aitenbichler, Erwin
Title: Limiting Sybil Attacks on Bayesian Trust Models in Open SOA Environments
Language: German
Abstract:

Next generation SOA systems promise to enable an "Internet of Services" - an open environment, in which every participant is not only free to offer and consume services, but also to provide central components of the ecosystem, such as marketplaces and community portals. In such an environment with no or only very little central control, malicious users may try to gain profits by providing low quality services. An approach to solve this issue is to introduce a trust or reputation system, enabling market participants to identify trustworthy parties. An open market does not have access restrictions to the market, hence such systems are likely to be exposed to Sybil attacks. In this paper, we provide a novel approach for aggregating recommendations in the face of Sybil attacks, which allow a single party to try to multiply the influence of its recommendation(s) by creating a high number of seemingly independent entities.

Title of Book: Proceedings of the The First International Symposium on Cyber-Physical Intelligence (CPI-09)
Publisher: IEEE
ISBN: 978-1-4244-4902-6
Uncontrolled Keywords: Secure Services;- SST: CASED:;- SST - Area Smart Security and Trust
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
Event Location: Brisbane, QLD
Date Deposited: 31 Dec 2016 12:59
DOI: 10.1109/UIC-ATC.2009.82
Identification Number: TUD-CS-2009-0192
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