In the blooming era of the Internet of Things (IoT), trust has been accepted as a vital factor for provisioning secure, reliable, seamless communications and services. However, a large number of challenges still remain unsolved due to the ambiguity of the concept of trust as well as the variety of divergent trust models in different contexts. In this research, we augment the trust concept, the ...

Recent developments in the pervasiveness and mobility of computer systems in open computer net­ works have invalidated traditional assumptions about trust in computer communications security. In a fundamentally decentralised and open network such as the Internet, the responsibility for answer­ ing the question of whether one can trust another entity on the network now lies with the individual a...

The advent of the internet has resulted in the exponential growth in availability of information as well as the sources from which this information can be gathered. Information has become an asset as well as a vital tool for decision making processes. In order to gain new information, a business is often required to give some information, it is already in possession of, up. This information cou...

Models of computational trust support users in taking decisions. They are commonly used to guide users’ judgements in online auction sites; or to determine quality of contributions in Web 2.0 sites. However, most existing systems require historical information about the past behavior of the specific agent being judged. In contrast, in real life, to anticipate and to predict a stranger’s actions...

This paper concerns decision-making processes that rely on trust. In particular, it analyzes how different aspects of trust (e.g., trust, trustworthiness, trustworthy evidence) influence trust decisions, and acting on them eventually. It proposes a trust decision model that structures the analysis of contextualized trust problems. Rather than seeking a general definition of trust, this paper ad...

Artificial societies distributed systems of autonomous agents are becoming increasingly important in open distributed environments, especially in e-commerce. Agents require trust and reputation concepts in order to identify communities of agents with which to interact reliably. We have noted in real environments that adversaries tend to focus on exploitation of the trust and reputation model. T...

The trust solutions to routing networks are faced with the evaluation of behavior trust and how to exactly evaluate the behaviors under the circumstance of existing recommend deceptive behavior such as providing fake or misleading recommendation. In this paper, by learning trust relationship from routing network, a trust evaluation model based on Grey Clustering Theory is proposed. The model ad...

Before using a digital system, it is necessary to evaluate it according to different parameters. Lately trust emerged as a momentous aspect of evaluation. Evaluating trust in a system is a complex issue that becomes more challenging when systems use distributed architectures. In a previous work, we proposed SOCIOTRUST, a trust model that is based on probability theory to evaluate trust in a sys...

This paper proposes a time domain based trust model (TD-Trust) in P2P networks. In this model, time domain analysis is built on the processes of calculating direct and recommendation trust respectively on the basis of DHT mechanism. By tracing the behavior trend of peers, this model enables system to monitor the states of peers in the view of oscillation and malice continuity so that unsteady a...