Trust, because we feel safer taking risks, innovating, and speaking our minds when doing so in trust-based environments.
Building trust-based environments, establishing AI ethics, preventing big data inequality, and monitoring key performance indicators in real time.
Indirect trust computation based on recommendations forms an important component in trust-based access control models for pervasive environments.
Much research on trust-based access control models for pervasive environment has been carried out[2 6], which use trust as an elementary criterion for authorizing known, partially known, and unknown entities to interact with each other.
It is also of critical importance to prove the correctness of the trust-based security schemes in dynamic and unpredictable environments, such as of MANETs.
Another article [7] has discussed several security and privacy challenges in Cloud computing environments and suggested considering a trust-based framework for supporting adaptive policy integration.
Ahamed and Sharmin [17] proposed a Trust-based secure Service discovery model, for a truly pervasive environment.
The managers will be trained in how to implement a trust-based and appreciative dialogue with each employee about health and work environment.
In this work, we focus on MSNs and present a compact but efficient trust-based approach using Bayesian inference to identify malicious nodes in such an environment.
However, in most of the trust-based security schemes, a node's trust is computed based on a single trust attribute criteria, such as data forwarding.
We demonstrate that CTPKM outperforms both existing non-trust-based and trust-based counterparts.
