scholarly journals A robust trust model for service-oriented systems

2013 ◽  
Vol 79 (5) ◽  
pp. 596-608 ◽  
Author(s):  
Xing Su ◽  
Minjie Zhang ◽  
Yi Mu ◽  
Quan Bai
Keyword(s):  
Trust Model ◽  
Service Oriented

Modelling Self-Led Trust Value Management in Grid and Service Oriented Infrastructures

2012 ◽  
pp. 122-139
Author(s):  
Antony Brown ◽  
Paul Sant ◽  
Nik Bessis ◽  
Tim French ◽  
Carsten Maple
Keyword(s):  
Trust Management ◽  
Large Scale ◽  
Ad Hoc ◽  
Trust Model ◽  
Management Decision ◽  
Value Management ◽  
Trust Value ◽  
Graph Theoretic ◽  
Collaborative Environment ◽  
Service Oriented

Current developments in grid and service oriented technologies involve fluid and dynamic, ad hoc based interactions between delegates, which in turn, serves to challenge conventional centralised structured trust and security assurance approaches. Delegates ranging from individuals to large-scale VO (Virtual Organisations) require the establishment of trust across all parties as a prerequisite for trusted and meaningful e-collaboration. In this paper, a notable obstacle, namely how such delegates (modelled as nodes) operating within complex collaborative environment spaces can best evaluate in context to optimally and dynamically select the most trustworthy ad hoc based resource/service for e-consumption. A number of aggregated service case scenarios are herein employed in order to consider the manner in which virtual consumers and provider ad hoc based communities converge. In this paper, the authors take the view that the use of graph-theoretic modelling naturally leads to a self-led trust management decision based approach in which delegates are continuously informed of relevant up-to-date trust levels. This will lead to an increased confidence level, which trustful service delegation can occur. The key notion is of a self-led trust model that is suited to an inherently low latency, decentralised trust security paradigm.

Modelling Self-Led Trust Value Management in Grid and Service Oriented Infrastructures

2010 ◽  
Vol 1 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Antony Brown ◽  
Paul Sant ◽  
Nik Bessis ◽  
Tim French ◽  
Carsten Maple
Keyword(s):  
Trust Management ◽  
Large Scale ◽  
Ad Hoc ◽  
Trust Model ◽  
Management Decision ◽  
Value Management ◽  
Trust Value ◽  
Graph Theoretic ◽  
Service Oriented ◽  
Resource Service

Current developments in grid and service oriented technologies involve fluid and dynamic, ad hoc based interactions between delegates, which in turn, serves to challenge conventional centralised structured trust and security assurance approaches. Delegates ranging from individuals to large-scale VO (Virtual Organisations) require the establishment of trust across all parties as a prerequisite for trusted and meaningful e-collaboration. In this paper, a notable obstacle, namely how such delegates (modelled as nodes) operating within complex collaborative environment spaces can best evaluate in context to optimally and dynamically select the most trustworthy ad hoc based resource/service for e-consumption. A number of aggregated service case scenarios are herein employed in order to consider the manner in which virtual consumers and provider ad hoc based communities converge. In this paper, the authors take the view that the use of graph-theoretic modelling naturally leads to a self-led trust management decision based approach in which delegates are continuously informed of relevant up-to-date trust levels. This will lead to an increased confidence level, which trustful service delegation can occur. The key notion is of a self-led trust model that is suited to an inherently low latency, decentralised trust security paradigm.

Computational Trust in Cloud Manufacturing

2013 ◽  
Vol 774-776 ◽  
pp. 1908-1913 ◽  
Author(s):  
Lu Gao ◽  
Quan Liu ◽  
Ping Lou
Keyword(s):  
Manufacturing Systems ◽  
Service Providers ◽  
Cloud Manufacturing ◽  
Trust Model ◽  
Virtual Manufacturing ◽  
Manufacturing Environment ◽  
Collaborative Relationships ◽  
Computational Trust ◽  
Service Oriented ◽  
Manufacturing Resources

Cloud manufacturing is a new kind of advanced service-oriented network manufacturing paradigm. There are two kinds of nodes in this network manufacturing environment: manufacturing service nodes (service providers) encapsulated by manufacturing resources and task nodes (service customers). One of the bases of building up the collaborative relationships between customers and providers in cloud manufacturing environment is their reciprocal trust. However, vicious, mendacious, and inveracious information makes it quite difficult for customers to find reliable and high-quality providers to form virtual manufacturing systems for efficiently responding to market demands in cloud manufacturing environment, viz. service consumers often have insufficient information on service providers. The trustworthy network manufacturing environment is a prerequisite to implementation of cloud manufacturing. In this paper the notion of human trust is extended to the cloud manufacturing. A computational trust model which combines the direct computational reliability and the computational reputation is presented, and the simulating result confirms it valid.

Trust Based Service Selection in Service Oriented Environment

2012 ◽  
Vol 9 (3) ◽  
pp. 23-42 ◽  
Author(s):  
Jun Li ◽  
Xiaolin Zheng ◽  
Deren Chen ◽  
William Wei Song
Keyword(s):  
Service Selection ◽  
Trust Model ◽  
Specific Service ◽  
Computational Trust ◽  
Direct Trust ◽  
Global Quality ◽  
The Social ◽  
Service Oriented ◽  
Sparse Networks ◽  
Malicious Behaviors

In a service-oriented environment, it is inevitable and indeed quite common to deal with web services, whose reliability is unknown to the users. The reputation system is a popular technique currently used for providing a global quality score of a service provider to requesters. However, such global information is far from sufficient for service requesters to choose the most qualified services. In order to tackle this problem, the authors present a trust based architecture containing a computational trust model for quantifying and comparing the trustworthiness of services. In this trust model, they firstly construct a network based on the direct trust relations between participants and rating similarity in service oriented environments, then propose an algorithm for propagating trust in the social network based environment which can produce personalized trust information for a specific service requester, and finally implement the trust model and simulate various malicious behaviors in not only dense but also sparse networks which can verify the attack-resistant and robustness of the proposed approach. The experiment results also demonstrate the feasibility and benefit of the approach.

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