Trust Modeling with Context Representation and Generalized Identities

摘要: We present a trust model extension that attempts to relax the assumptions are currently taken by majority of existing models: (i) proven identity agents, (ii) repetitive interactions and (iii) similar trusting situations. The proposed approach formalizes situation (context) and/or trusted agent in multi-dimensional Identity-Context feature space, attaches trustworthiness evaluations individual elements from this metric rather than fixed tags (e.g. AIDs, addresses). Trustworthiness I-C space can be evaluated using any supports weighted aggregations updates, allowing integration mechanism with most work. Trust models appropriate for deployment dynamic, ad-hoc mobile environments, where platform can't guarantee agents cryptography-based management techniques may too costly due unreliable communication.