A peer-to-peer multidimensional trust model for digital ecosystems

Ion, Mihaela; Danzi, Andrea; Koshutanski, Hristo; Telesca, Luigi

doi:10.1109/dest.2008.4635150

Cited by 18 publications

(12 citation statements)

References 14 publications

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“…Based on the way of building trust relationship, the trust models can be divided into two categories: trusted third party based models (single CA trust model [17], eBay [18]) and feedback-evaluation based models (PeerTrust [4], DyTrust [6]). Trusted third party based model adopts PKI technology, by utilizing the trusted third party to monitor the performance of entire network, the malicious nodes will be regularly filtered out.…”

Section: Trust Modelsmentioning

confidence: 99%

A Malicious Users Detecting Model Based on Feedback Correlations

Wang¹,

Bai²,

Hou³

et al. 2013

IJCNC

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The trust and reputation models were introduced to restrain the impacts caused by rational but selfish peers in P2P streaming systems. However, these models face with two major challenges from dishonest feedback and strategic altering behaviors. To answer these challenges, we present a global trust model based on network community, evaluation correlations, and punishment mechanism. We also propose a two-layered overlay to provide the function of peers' behaviors collection and malicious detection. Furthermore, we analysis several security threats in P2P streaming systems, and discuss how to defend with them by our trust mechanism. The simulation results show that our trust framework can successfully filter out dishonest feedbacks by using correlation coefficients. It can effectively defend against the security threats with good load balance as well.

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Section: Trust Modelsmentioning

confidence: 99%

A Malicious Users Detecting Model Based on Feedback Correlations

Wang¹,

Bai²,

Hou³

et al. 2013

IJCNC

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“…The initial work in DEs was performed by [2], [16], which form a precursor to this work. Roughly speaking, the literature tends to regard identity management as a) a protocol, or set of protocols, for performing SSO (a network perspective) and b) a method of aggregating and storing user credentials (a user perspective).…”

Section: State Of the Artmentioning

confidence: 99%

A Model for identity in digital ecosystems

McLaughlin

Malone

Jennings

2009

2009 3rd IEEE International Conference on Digital Ecosystems and Technologies

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Abstract-In digital ecosystems, where they are no central authorities or single points of failure or control, entities form dynamic relationships to facilitate transactions and knowledge sharing. These relationships are contextual, evolving and not subject to central moderation. The devolved structure of these emergent environments pose unique challenges for identity.In this paper, we build on previous work on identity in digital ecosystems by offering a closer examination of identity requirements and outlining a flexible and extensible identity model framework that uses OASIS SAML-like protocols and metadata to perform the equivalent of operations such as Single Sign-On (SSO).We also introduce an identity model software toolkit, IdentityFlow, that can be used to implement and execute identity protocols; and outline concrete use-cases for SSO protocol implementations.

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“…In [7] we extend the notion of institutional trust to social institutional trust and allow institutions to build social networks of trust based on their business relations. The trust relations an institution has with others are expressed in a metadata certificate.…”

Section: A Trust Management In Peer-to-peer Systemsmentioning

confidence: 99%

Rating Agencies Interoperation for Peer-to-Peer Online Transactions

Ion

Koshutanski

Hoyer³

et al. 2008

2008 Second International Conference on Emerging Security Information, Systems and Technologies

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Abstract-In current peer-to-peer systems users interact with unknown services and users for the purpose of online transactions such as file sharing and trading of commodities. Peer-to-Peer reputation systems allow users to assess the trustworthiness of unknown entities based on subjective feedback from the other peers. However, this cannot constitute sufficient proof for many transactions like service composition, negotiations and coalition formation in which users require more solid proof of the quality of unknown services. Ratings certified by trusted third parties in the form of a security token are objective and reliable and, hence, allow building trust between peers. Because of the decentralized and distributed nature of peer-to-peer networks, a central authority (or hierarchy of them) issuing such certificates would not scale up. We propose a framework for peer-to-peer agencies interoperation based on rating certificates and metacertificates describing bilateral agencies relations.

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A peer-to-peer multidimensional trust model for digital ecosystems

Cited by 18 publications

References 14 publications

A Malicious Users Detecting Model Based on Feedback Correlations

A Malicious Users Detecting Model Based on Feedback Correlations

A Model for identity in digital ecosystems

Rating Agencies Interoperation for Peer-to-Peer Online Transactions

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