Abstract. Probabilistic trust has been adopted as an approach to taking security sensitive decisions in modern global computing environments. Existing proba-bilistic trust frameworks either assume fixed behaviour for the principals or in-corporate the notion of ‘decay ’ as an ad hoc approach to cope with their dynamic behaviour. Using Hidden Markov Models (HMMs) for both modelling and ap-proximating the behaviours of principals, we introduce the HMM-based trust model as a new approach to evaluating trust in systems exhibiting dynamic be-haviour. This model avoids the fixed behaviour assumption which is considered the major limitation of existing Beta trust model. We show the consistency of the HMM-based trust model and contrast it against t...
AbstractThe application scenarios envisioned for ‘global ubiquitous computing’ have unique requireme...
Business objectives and methods in an organization change periodically. Their supporting Information...
In many systems, agents must rely on their peers to achieve their goals. However, when trusted to pe...
Probabilistic trust has been adopted as an approach to taking security sensitive decisions in modern...
One of the dominant properties of a global computing network is the incomplete information available...
Abstract. Research in models for experience-based trust management has either ignored or provided ad...
AbstractResearch in models for experience-based trust management has either ignored the problem of m...
Abstract. Research in models for experience-based trust management has either ignored the problem of...
International audienceIn modern global networks, principals usually have incomplete information abou...
Online trading takes place in a very complex environment full of uncertainty in which deceitful serv...
Abstract—Online trading takes place in a very complex environment full of uncertainty in which decei...
In this paper we propose a trust model for decision making that models both the context specific and...
In this paper we propose a trust model for decision making that models both the context specific and...
We propose a trust prediction model for service Web using the Hidden Markov Model (HMM). The propose...
The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that...
AbstractThe application scenarios envisioned for ‘global ubiquitous computing’ have unique requireme...
Business objectives and methods in an organization change periodically. Their supporting Information...
In many systems, agents must rely on their peers to achieve their goals. However, when trusted to pe...
Probabilistic trust has been adopted as an approach to taking security sensitive decisions in modern...
One of the dominant properties of a global computing network is the incomplete information available...
Abstract. Research in models for experience-based trust management has either ignored or provided ad...
AbstractResearch in models for experience-based trust management has either ignored the problem of m...
Abstract. Research in models for experience-based trust management has either ignored the problem of...
International audienceIn modern global networks, principals usually have incomplete information abou...
Online trading takes place in a very complex environment full of uncertainty in which deceitful serv...
Abstract—Online trading takes place in a very complex environment full of uncertainty in which decei...
In this paper we propose a trust model for decision making that models both the context specific and...
In this paper we propose a trust model for decision making that models both the context specific and...
We propose a trust prediction model for service Web using the Hidden Markov Model (HMM). The propose...
The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that...
AbstractThe application scenarios envisioned for ‘global ubiquitous computing’ have unique requireme...
Business objectives and methods in an organization change periodically. Their supporting Information...
In many systems, agents must rely on their peers to achieve their goals. However, when trusted to pe...