Cloud Trust-Driven Hierarchical Sharing Method of Internet of Things Information Resources

Short information sharing time is one of the problems to be solved in traditional Internet. Therefore, this paper proposes a hierarchical simulation Internet Things structure framework that trusts cloud drive resource sharing. By setting thresholds and iterative adjustment parameters, complementary judgment matrix constructed obtain minimum nonnegative deviation value optimal weight vector. This sorts according security model, obtains model avoid human tampering, designs acquisition process ensure reliability source data. We use radio frequency identification (RFID) equipment preprocessing massive heterogeneous data Things. In network environment where resources are limited fully considered, trust-based adaptive detection algorithm used evaluate credibility trust-driven for services propose model. Firstly, key characteristics analyzed. Then, was established by using specific constraints, trust steepness function, evaluation criteria, constraint coefficient. Finally, an example IoT system designed verify effectiveness Experimental results show that, compared with or algorithm, has good effect underlying information.