Trust Management Model and Architecture for Context-Aware Service Platforms

Neisse, Ricardo; Wegdam, Maarten; Sinderen, Marten van; Lenzini, Gabriele

doi:10.1007/978-3-540-76843-2_47

Cited by 24 publications

(27 citation statements)

References 16 publications

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“…The proposal in [7] identifies context-aware trust relationships that enable the users to select the most trustworthy services. The primary drawback of this method is that it fails to validate and fine-tune the trust model.…”

Section: Literature Surveymentioning

confidence: 99%

Subjective logic based trust model for geographic routing in mobile ad hoc networks

2016

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Original scientific paper In the past decades, several trust models have been proposed to enhance the security of Mobile Ad hoc Networks (MANETs). The conventional trust models fail to express the notion of uncertainty during the establishment of trust relationships between mobile nodes. Furthermore, they lack in considering the context attributes in trust evaluation. This paper proposes a subjective logic based trust model in POR (SLT-POR) that integrates both the behavioural and context based trust in trust model. The behavioural based trust incorporates subjective logic based evidence fusion in indirect trust evaluation to explicitly represent and manage ignorance as uncertainty. The trust relationship between nodes cannot always reflect the actual relationship and consequently the executed decision from the extracted trust relationship is not always accurate. The subjective logic theory includes a dynamic base rate operator that evaluates an expectation of an opinion and handles the uncertainty in evidence collection. In context, attributes based trust measurement, the SLT-POR estimates a context based trust value using the contextual attributes of each node in the trusted positive progress set. The SLT-POR considers the battery power to include node's lifetime in the trustworthiness estimation. It assigns a weight for both behaviour and context based trust to efficiently calculate total trustworthiness of a node. The simulation results demonstrate that the packet delivery ratio of the proposed SLT-POR is high even if 50 % of total nodes are malicious and outperforms Context-Aware Security and Trust (CAST) framework. Keywords: behavioural-based trust; contextual attributes; MANETs; POR; subjective logic; trust modelNa logici zasnovan subjektivni model pouzdanosti za geografsko praćenje u pokretnim ad hoc mrežama Izvorni znanstveni članak Prošlih desetljeća predloženo je nekoliko modela pouzdanosti kao bi se povećala sigurnost mobilnih ad hoc mreža (Mobile Ad hoc Networks -MANETs). Uobičajeni modeli pouzdanosti ne uspijevaju izraziti pojam nesigurnosti tijekom uspostavljanja pouzdanih odnosa između pokretnih čvorova. Nadalje, nedostaje im uvažavanje značajki okoline u ocjeni pouzdanosti. U radu se predlaže model pouzdanosti zasnovan na subjektivnoj logici u POR (SLT-POR) koji u modelu integrira pouzdanost zasnovanu na kontekstu i onu zasnovanu na ponašanju. Pouzdanost zasnovana na ponašanju uključuje fuziju evidencije zasnovane na subjektivnoj logici u evaluaciji indirektne pouzdanosti kako bi se eksplicitno predstavilo i upravljalo neznanjem kao nesigurnošću. Odnos pouzdanosti između čvorova ne može uvijek odražavati stvarni odnos te stoga provedena odluka iz izvedenog odnosa pouzdanosti nije uvijek točna. Teorija subjektivne logike uključuje dinamičkog operatora osnovne brzine koji procjenjuje očekivanje mišljenja i bavi se nesigurnošću u skupljanju podataka. U mjerenju pouzdanost zasnovane na obilježjima konteksta, SLT-POR procjenjuje vrijednost pouzdanosti zasnovane na kontekstu uporabom kontekstualnih ob...

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Section: Literature Surveymentioning

confidence: 99%

Subjective logic based trust model for geographic routing in mobile ad hoc networks

2016

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“…However, few proposals have been made on this specific area (see Tavakolifard (2009), Neisse, Wegdam, Sinderen and Lenzini (2009), Rehak, Gregor and Pechoucek (2006), Fabregues and Madrenas-Ciurana (2009), and Hermoso, Billhardt and Ossowski (2009)). …”

Section: Introductionmentioning

confidence: 99%

Refining the Trustworthiness Assessment of Suppliers Through Extraction of Stereotypes

Urbano

Rocha

Oliveira

2010

Proceedings of the 12th International Conference on Enterprise Information Systems

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Abstract:Trust management is nowadays considered a promising enabler technology to extend the automation of the supply chain to the search, evaluation and selection of suppliers located world-wide. Current agent-based Computational Trust and Reputation (CTR) systems concern the representation, dissemination and aggregation of trust evidences for trustworthiness assessment, and some recent proposals are moving towards situation-aware solutions that allow the estimation of trust when the information about a given supplier is scarce or even null. However, these enhanced, situation-aware proposals rely on ontology-like techniques that are not fine grained enough to detect light, but relevant, tendencies on supplier's behaviour. In this paper, we propose a technique that allows the extraction of positive and negative tendencies of suppliers in the fulfilment of established contracts. This technique can be used with any of the existing "traditional" CTR systems, improving their ability in selectively selecting a partner based on the characteristics of the situation in evaluation. In this paper, we test our proposal using an aggregation engine that embeds important properties of the dynamics of trust building.

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“…According to the literature, the extension of a trust model with context representation can reduce complexity in the management of trust relationships [20], improve the recommendation process [20], help to infer trust information in context hierarchies [9], improve performance [25], help to learn policies/norms at runtime [25,29], and provide protection against changes of identity and first time offenders [25]. Context related information has been represented as Context-aware domains [20], Intensional Programming [31], Multi-dimensional goals [8], Clustering [25], and Ontologies [29].…”

Section: Related Researchmentioning

confidence: 99%

“…Context related information has been represented as Context-aware domains [20], Intensional Programming [31], Multi-dimensional goals [8], Clustering [25], and Ontologies [29].…”

Section: Related Researchmentioning

confidence: 99%

Analogical Trust Reasoning

Tavakolifard

Herrmann

Öztürk

2009

Trust Management III

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Abstract. Trust is situation-specific and the trust judgment problem with which the truster is confronted might be, in some ways, similar but not identical to some problems the truster has previously encountered. The truster then may draw information from these past experiences useful for the current situation. We present a knowledge-intensive and model-based case-based reasoning framework that supports the truster to infer such information. The suggested method augments the typically sparse trust information by inferring the missing information from other situational conditions, and can better support situation-aware trust management. Our framework can be coupled with existing trust management models to make them situation-aware. It uses the underlying model of trust management to transfer trust information between situations. We validate the proposed framework for Subjective Logic trust management model and evaluate it by conducting experiments on a large real dataset.

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Trust Management Model and Architecture for Context-Aware Service Platforms

Cited by 24 publications

References 16 publications

Subjective logic based trust model for geographic routing in mobile ad hoc networks

Subjective logic based trust model for geographic routing in mobile ad hoc networks

Refining the Trustworthiness Assessment of Suppliers Through Extraction of Stereotypes

Analogical Trust Reasoning

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