Context-Sensitive Computation in Trustworthy Computing

Abstract

Trust is a very significant commodity in distributed networks the same as in social network. The dynamic and ephemeral nature of distributed networks environments is especially important to compute the peer trustworthy. So, the decision whether or not to trust a peer can depend on many contextual factors. We outline a context-sensitive computation approach for considering the impact of context information on the trustworthy computing. We show that the contexts of peer and mediating networks can have influence on the degree of trust the trustor assigns to the trustee. We define fitness law to capture context-sensitive trust, as well as propose trustworthy computing functions. We illustrate the usage with fitness law that determines trust of context information.