A lightweight model of trust propagation in a multi-client network environment: to what extent does experience matter?

Conrad, M.; French, Tim; Huang, Wan-Ming; Maple, Carsten

doi:10.1109/ares.2006.8

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…Cuppens et al (2008) argued that the choice of [R] comes under scrutiny. Indeed, because a derivation of [R] requires a formal analysis of the system this is we acknowledge a weakness of the method in respect of traditional networks but we have proven that this limitation can be overcome via Java simulation (i.e., by determining an optimum value of [R] via empirical test-beds (Conrad et al, 2006). With specific reference to crowd-sourcing we believe that given that the number of nodes is likely to be < 100 at best at any given time that [R] can be determined by setting [R] above the 30% value we previously recommended in Conrad et al (2006) to a value approaching 80%.…”

Section: Table 2 Estimates Of Additional Hgv Traffic Movementsmentioning

confidence: 99%

Trust Issues on Crowd-Sourcing Methods for Urban Environmental Monitoring

French

Asimakopoulou

Maple

et al. 2012

International Journal of Distributed Systems and Technologies

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This paper explores trust related issues arising from the use of a crowd-sourcing method. Crowd-sourcing is a relatively new method that utilises modern technologies to gather, analyse and visualise specific “on-the-fly” data. The data is typically acquired through the employment of mobile technology, with each device running a bespoke application that captures the desired information. The resulting “crowd sourced” data is readily available and the corresponding maps produced can in turn, be used to support strategic planning and to facilitate overall, more informed decision-making. The purpose is to provide insights into this novel approach to data collection, aggregation and subsequent visualisation. Specifically, the focus centres upon issues of trust and security that are inherent not merely to the use of crowd sourced data capture itself, but also crucially, to the stewardship and usage of the resultant data sets within e-government settings. A novel community centric usage scenario is presented that seeks to show how issues of trust pervade the technology. Hence, both rewards and risks are revealed and we go on to outline a preliminary approach intended to support a trusted and reputable “crowdy” data architecture.

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Section: Table 2 Estimates Of Additional Hgv Traffic Movementsmentioning

confidence: 99%

Trust Issues on Crowd-Sourcing Methods for Urban Environmental Monitoring

French

Asimakopoulou

Maple

et al. 2012

International Journal of Distributed Systems and Technologies

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“…In this paper, our approach seeks to support both the design of VO partnerships via graph theoretic models using a relatively simple and computationally lightweight service, designed to quantify "confidence level" using a set of simple algorithms and metrics. We achieve this by extending lightweight trust services work from Conrad et al (2006); peer-to-peer identity and trust management work from Ion et al (2007); and trust and contract management for dynamic VOs from Wilson et al (2007). Specifically, our approach describe the model's functionality using a number of aggregative service case scenarios.…”

Section: Typologies Of Trustmentioning

confidence: 99%

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

Bessis

Brown

French

et al. 2010

International Journal of Systems and Service-Oriented Engineering

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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.

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“…Guha et al proposed a method for predicting trust between users [10]. The trust acquisition and propagation model is discussed in [5,6,25]. However, the relationship between trust and online private data is not well addressed.…”

Section: Related Workmentioning

confidence: 99%

Setting Access Permission through Transitive Relationship in Web-based Social Networks

Hong

Shen

2009

Weaving Services and People on the World Wide Web

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The rising popularity of Web 2.0, such as blogs, forums, online calendars/diaries, etc., makes users more interested in keeping their data on the Web. Sharing of such data could make life more enjoyable and convenient. For example, posting new photos about activities or sharing views about an event can let friends know what a user cares about. However, some of these data (such as a person's location during a particular time, opinion about a political event, etc.) are private and should not be accessed by unauthorized users. Although Web 2.0 facilitates sharing, the fear of forwarding sensitive data to a third party without knowledge of the data owners discourages people from using certain applications due to privacy concerns. We take advantage of the existing relationships on social networks and build a "trust network" with transitive relationship to allow data sharing while respecting the privacy of data owners. The trust network linking private data owners, private data requesters, and intermediary users is a directed weighted graph. The permission value for each private data requester is automatically assigned in this network based on the transitive relationship. Experiments were conducted to confirm the feasibility of constructing the trust network from existing social networks, and to assess the appropriateness of permission value assignments in the query process. This privacy scheme can make private data sharing manageable by data owners, who only need to define the access rights of their closest contacts once.

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A lightweight model of trust propagation in a multi-client network environment: to what extent does experience matter?

Cited by 8 publications

References 9 publications

Trust Issues on Crowd-Sourcing Methods for Urban Environmental Monitoring

Trust Issues on Crowd-Sourcing Methods for Urban Environmental Monitoring

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

Setting Access Permission through Transitive Relationship in Web-based Social Networks

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