A Flexible Trust Model for Distributed Service Infrastructures

Liu, Zhaoyu; Yau, Stephen S.; Peng, Dongliang; Yin, Yin

doi:10.1109/isorc.2008.84

Cited by 26 publications

(18 citation statements)

References 3 publications

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“…The system that allows for redemption is desired. Sun [12] model is in the context of distributed networks such as mobile ad hoc networks, P2P, PlanetLab (http://www.planet-lab.org/) and Grids. Their formulation distinguishes trust from probability.…”

Section: A Trust Confidence Trustworthiness Adaptive Forgetting Fmentioning

confidence: 99%

Fundamental features of a unified trust model for distributed systems

Hall

McQuay

2011

Proceedings of the 2011 IEEE National Aerospace and Electronics Conference (NAECON)

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Trust and trustworthiness are significant measurements of a distributed sensing system or a heterogeneous network comprised of sources of information, knowledge, hardware and software. In an effort to design a unified trust model that can be made adaptable to changing application environments, we present fundamental features and rules extracted from literature pertaining to wireless sensor networks, social networks, e-commerce, mobile ad-hoc, peer-to-peer, and distributed network services. The design constraints are: it must (a) support a heterogeneous network, (b) obtain and evaluate multiple trustworthiness measures, (c) be carried out with computational ease without extensive computational power from the sensor network, and (d) be conceptually simple but have a firm basis in theory.

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Section: A Trust Confidence Trustworthiness Adaptive Forgetting Fmentioning

confidence: 99%

Fundamental features of a unified trust model for distributed systems

Hall

McQuay

2011

Proceedings of the 2011 IEEE National Aerospace and Electronics Conference (NAECON)

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“…For example, the trust management system presented in [1] does not include trust estimation. There exist some trust estimation approaches in SBSs [2,3,6,7], but none of them include the consideration of collaboration and competition, as well as the transitivity of the trust propagation. Nagarajan [2] presented a set of platform level requirements to represent needed security policies for authorization decision making.…”

Section: A Trust Estimation For Sbssmentioning

confidence: 99%

“…Nagarajan [2] presented a set of platform level requirements to represent needed security policies for authorization decision making. A distributed trust estimation approach was presented and used to characterizing service-specific trust features was given in [3]. Neisse [6] combined the outputs from various trust aspects and assign different weights to these aspects to evaluate the trust levels of services of SBS.…”

Section: A Trust Estimation For Sbssmentioning

confidence: 99%

“…Assume that the interpersonal relationships among service providers remain the same. Whenever the original estimated trust value of service provider v due to competition with all his neighbors increases, the estimated trust value of u due to the competition with v will also increase by the amount given by (3). Then, the overall estimated trust value of u will increase by the amount given by (5), which indicates that the estimated trust value transits.…”

Section: Rule 3 There Is a Transitive Property Of Trustmentioning

confidence: 99%

“…Existing trust estimation approaches for SBSs [1][2][3][4][5][6][7] have two main drawbacks: One is that they are based on over-simplified environment, and the dynamic nature of the environment and human factors of SBSs are not considered. Although situation-awareness trust estimation in [8] for SBSs can help users estimate the trust values of service providers based on the current situations of SBSs, but their capabilities are limited because human factors, such as collaboration and competition, affecting the trust values of service providers, are not considered.…”

Section: Introductionmentioning

confidence: 99%

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An Approach to Improving Trust Estimation in Service-Based Systems

Yau

Sun

2011

2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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Service-based systems (SBSs) are distributed systems which have many advantages, including rapid composition of services for distributed applications. In these systems, various capabilities are provided by service providers as services interconnected by networks. It is important for users of SBSs to have confidence in the trustworthiness of service providers. Existing approaches to trust estimation for SBSs do not incorporate human factors, such as interpersonal relationships. In addition, the trust computation in existing trust models is based on pairwise relationship, which does not include the transitivity of trust. In this paper, an approach to improving the trust estimation for SBSs by incorporating two important aspects of interpersonal relationships is presented.Keywords -Service-based systems, trust estimation, interpersonal relationships, and transitivity of trust.

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