Sentence examples for determine trustworthiness from inspiring English sources

Exact(3)

The combined trust model aims to determine trustworthiness of the messages based on opinions provided by other vehicles.

The TMF's design dictates a layered architecture for capturing evidence at the data layer of a network, transforming it into formed reputations in the information layer and utilizing these reputations to determine trustworthiness of an entity in the knowledge layer of the network.

We also provide details of the theoretical underpinnings and comparative analysis of Bayesian approaches to binary and multi-level trust, to automatically determine trustworthiness in a variety of reputation systems including those used in sensor networks, e-commerce, and collaborative environments.

Similar(55)

Self-interest determines trustworthiness on these accounts.

Afterwards, for determining trustworthiness of each absorber's performance, system's behavior is studied for different values of its parameters such as rotational speed, stiffness, clearance and eccentricity in presence of each absorber.

These ratings are averaged across all users to determine the trustworthiness of each article, author, and publication.

(5) How do we monitor and police postures to determine the trustworthiness of entities?

If peer services provide honest recommendations, a service provider can accurately determine the trustworthiness of an unknown service requester.

It security components to determine the trustworthiness of e- commerce participants to helps online customers to decide whether or not to proceed with a transaction.

The objective of indirect trust computation is to determine the trustworthiness of an unfamiliar service requester from the set of recommendations that narrow the gap between the derived recommendation and the actual trustworthiness of the target service.

Let X be a service requester who has no prior experience with service provider A. In order to determine the trustworthiness of X, A will request recommendations from its peer services who have previous interaction with X.

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