Context-Aware Trust Management System for IoT Applications with Multiple Domains

摘要: The Internet of Things (IoT) provides connectivity between heterogeneous devices in different applications, such as smart wildlife, supply chain and traffic management. Trust management system (TMS) assesses the trustworthiness service with respect to its quality. Under context information, a provider may be trusted one but not another. existing context-aware trust models usually store values under contexts search closest (to given context) record evaluate service. However, it is suitable for distributed resource-constrained IoT which have small memory low power. Reputation systems are applied many where trustor obtains recommendations from others. In context-based evaluation, requires interactive queries find relevant information remote devices. communication overhead energy consumption issues power networks like 6LoWPAN. this paper, we propose new model lightweight proposed overview without storing past behavior records, that is, constant size storage. allows decide significance items. This could result distinctive decisions same record. We also show performance attacks.