Background : One of the indices of health care development is the use of HIS, but it is not supporting the nursing process as a scientific method. So, this study was done in order to optimize Hospital Information System (HIS) in cardiac care unit with the approach of “nursing care using scientific method”. Materials and Methods: This study is a part of a participatory action research which w...

We propose a formal model for reputation-based trust management. In contrast to conventional, credential-based trust management, in reputation-based trust management an agent’s past behavior is used to decide whether to grant him access to a protected resource. We use an event semantics inspired by the actor model, and assume that each principal has only partial knowledge of the events that hav...

As an important concept in network security, trust is interpreted as a set of relations among agents participating in the network activities. Trust relations are based on previous behaviors of agents. Trust management in distributed and resource-constraint networks, such as mobile ad hoc networks (MANETs) and sensor networks, is much more difficult but more crucial than in traditional hierarchi...

In ways analogous to humans, autonomous agents require trust and reputation concepts in order to identify communities of agents with which to interact reliably. This paper defines a class of attacks called witness-based collusion attacks designed to exploit trust and reputation models. Empirical results demonstrate that unidimensional trust models are vulnerable to witness-based collusion attac...

We propose a framework to study Markovian trust value dynamics in a centralized Computational Trust and Reputation (CTR) scheme under trust-unaware partner selection using a mean-value approximation. Analytically founded answers are sought to questions like: Can dishonest agents subvert the CTR scheme (i.e., acquire higher trust values than honest agents)? Is indirect reciprocity incentivized? ...

We need models of trust to facilitate cooperation in multi-agent systems, where agents, human and artificial, do not know each other beforehand. This paper lists and proposes simple mechanisms for trust acquisition based on a very basic and general definition of trust, making no assumptions on the internal cognitive models of the involved agents. We also show how trust acquired one-on-one can b...

Unfair rating attacks to trust systems can affect the accuracy of trust evaluation when trust ratings (recommendations) about trustee agents are sought by truster agents from others (advisor agents). A robust trust system should remain accurate, even under the worst-case attacks which yield the least useful recommendations. In this work, we base on information theory to quantify the utility of ...