Trust measurement is an important way to provide secure communication over IIoT. The IoT devices share their parameter values with others via a secure communication channel. In order to ensure secure communication without modifying the parameter values over IIoT, trust management plays a crucial role in industrial applications. LightTrust utilizes a centralized trust agent for maintaining the trust certificates and allowing nodes to communicate over a particular time. It eliminates the frequent trust measurement and system complexity. Trust consists of direct and indirect trust.
The direct trust models compute the trust level of an entity based on the straight communication behavior observation. The indirect trust models collect the evidence from neighboring entities to compute the trust value. By employing the highly trusted nodes for communication, the trust-based models neglect the malicious behavior in the network. The former one consists of compatibility, cooperativeness, and delivery ratio, whereas the latter one includes indirect observations. Traffic awareness and contextual trust measurement in IIoT are important for modeling legitimate network scenarios.