Trust models in ubiquitous computing

Krukow, Karl; Nielsen, Mogens; Sassone, Vladimiro

doi:10.1098/rsta.2008.0134

Cited by 32 publications

(23 citation statements)

References 48 publications

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“…[14]) and is certainly desirable in general. However for some applications -specifically the C protocol -it is more reasonable to consider a simplified notion where trust in a user is common to everybody.…”

Section: C Protocol Extendedmentioning

confidence: 99%

“…on Bayesian analysis (cf. [14]), whilst in the current centralised implementation of Crowds, observation leading to the estimation of t can be made by the mechanism which manages crowd membership, the so-called 'blender. ' We do not cover such issues and the related techniques in the current exposition, as we consider them largely orthogonal and scarcely relevant to the focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

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Trust in Crowds: Probabilistic Behaviour in Anonymity Protocols

Sassone

ElSalamouny

Hamadou

2010

Trustworthly Global Computing

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Abstract. The existing analysis of the Crowds anonymity protocol assumes that a participating member is either 'honest' or 'corrupted.' This paper generalises this analysis so that each member is assumed to maliciously disclose the identity of other nodes with a probability determined by her vulnerability to corruption. Within this model, the trust in a principal is defined to be the probability that she behaves honestly. We investigate the effect of such a probabilistic behaviour on the anonymity of the principals participating in the protocol, and formulate the necessary conditions to achieve 'probable innocence.' Using these conditions, we propose a generalised Crowds-Trust protocol which uses trust information to achieves 'probable innocence' for principals exhibiting probabilistic behaviour.

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Section: C Protocol Extendedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trust in Crowds: Probabilistic Behaviour in Anonymity Protocols

Sassone

ElSalamouny

Hamadou

2010

Trustworthly Global Computing

Self Cite

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“…We refer to existing surveys [15,14,11] for a general introduction to reputation systems. It is interesting to notice that the reputation system associated with our calculus can be classified, according to [15], as a non-probabilistic experiencebased system, where principals are evaluated by inspecting their history, which is built by recording their past interaction with other principals.…”

Section: Conclusion and Related Workmentioning

confidence: 99%

A Reputation System for Multirole Sessions

Bono

Capecchi

Castellani

et al. 2012

Trustworthy Global Computing

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Abstract. We extend role-based multiparty sessions with reputations and policies associated with principals. The reputation associated with a principal in a service is built by collecting her relevant behaviour as a participant in sessions of the service. The service checks the reputation of principals before allowing them to take part in a session, also according to the role they want to play. Furthermore, principals can declare policies that must be fulfilled by the other participants of the same service. These policies are used by principals to check the reputation of the current participants and to decide whether or not to join the service. We illustrate the use of our approach with an example describing a real-world protocol.

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“…Security is another vital aspect of the puzzle 24) , and trust has indeed been postulated as a potential aid in this environment 13) . However, rather than simply extend into the mobile space models of, for instance, webs of trust, and how to trust other people, we conjecture that a largely local approach to trust 'management' can produce interesting results because it can to some extent model and facilitate this bilateral relationship between device and user (how to trust the other person or other devices).…”

Section: Introductionmentioning

confidence: 99%

Defining and Investigating Device Comfort

Marsh

Briggs

El-Khatib

et al. 2011

Journal of Information Processing

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Device Comfort is a concept that uses an enhanced notion of trust to allow a personal (likely mobile) device to better reason about the state of interactions and actions between it, its owner, and the environment. This includes allowing a better understanding of how to manage information in fine-grained context as well as addressing the personal security of the user. To do this, it forms a unique relationship with the user, focusing on the device's judgment of user in context. This paper introduces and defines Device Comfort, including an examination of what makes up the comfort of a device in terms of trust and other considerations, and discusses the uses of such an approach. It also presents some ongoing developmental work in the concept, and an initial formal model of Device Comfort, its makeup and behaviour.

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Trust models in ubiquitous computing

Abstract: We recapture some of the arguments for trust-based technologies in ubiquitous computing, followed by a brief survey of some of the models of trust that have been introduced in this respect. Based on this, we argue for the need of more formal and foundational trust models.

Cited by 32 publications

References 48 publications

Trust in Crowds: Probabilistic Behaviour in Anonymity Protocols

Trust in Crowds: Probabilistic Behaviour in Anonymity Protocols

A Reputation System for Multirole Sessions

Defining and Investigating Device Comfort

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