Data aggregation in wireless sensor networks is widely accepted as an essential paradigm for energy efficient routing but with low reliability under node and link failures. In wireless sensor networks, malicious sensor nodes send false data reports to distort aggregation results. Existing trust systems rely on general reputation to mitigate the effect of this attack. This paper presents one of ...

Establishing cooperation and protecting individuals from selfish and malicious behavior are key goals in open multiagent systems. Incomplete information regarding potential interaction partners can undermine typical cooperation mechanisms such as trust and reputation, particularly in lightweight systems designed for individuals with significant resource constraints. In this article, we (i) prop...

In this paper, we study the problem of aggregating noisy labels from crowd workers to infer the underlying true labels of binary tasks. Unlike most prior work which has examined this problem under the random worker paradigm, we consider a much broader class of adversarial workers with no specific assumptions on their labeling strategy. Our key contribution is the design of a computationally eff...

Establishing cooperation and protecting individuals from selfish or malicious behaviour are key goals in open multi-agent systems. Incomplete information regarding potential interaction partners can undermine mechanisms such as trust and reputation, particularly in lightweight systems designed for individuals with significant resource constraints. In this paper, we (i) propose extending low cos...

Interest for computational trust and reputation models is on the rise. One of the most important aspects of these models is how they deal with information received from other individuals. More generally, the critical choice is how to represent and how to aggregate social evaluations. In this article, we make an analysis of the current approaches of representation and aggregation of social evalu...

The key to the success of a P2P reputation system is the feedbacks aggregating mechanism. Based on human cognitive psychology, Tree-Trust, a novel reputation model is introduced, in which the concept of direct trust tree (DTT) is presented innovatively. The main contributions include: (1) in Tree-Trust, feedbacks are searched by using DTT instead of in broadcast way of other work, which makes t...

This paper describes XenoTrust, the trust management architecture used in the XenoServer Open Platform: a public infrastructure for wide-area computing, capable of hosting tasks that span the full spectrum of distributed paradigms. We suggest that using an event-based publish/subscribe methodology for the storage, retrieval and aggregation of reputation information can help exploiting asynchron...

The study of trust management in multi-agent system, especially distributed, has grown over the last years. Trust is a complex subject that has no general consensus in literature, but has emerged the importance of reasoning about it computationally. Reputation systems takes into consideration the history of an entity’s actions/behavior in order to compute trust, collecting and aggregating ratin...

Background: Centralized online reputation systems, which collect users’ opinions on products, transactions and events as reputation information then aggregate and publish it, have been widely adopted by Internet companies. These systems can help users build trust, reduce information asymmetry and filter information. Aim: Much research in the area has focused on analyzing single type systems and...