A Behavioral Measurement Model Suitable for the Sensing Nodes of Internet of Things

The Internet of Things connects a large number of real objects with the Internet through a variety of sensing technologies and it is a network that implements the concept of connected objects. However, as a new concept of network, because of its large number and variety of terminals, wide range of distribution, the traditional security mechanisms are not adapted to the Internet of Things (IoT) architecture, and the existed researches use the static information of sensing nodes to measure and judge the trust of sensing nodes. It results the real-time trust of Internet of Things hard to be judged. Therefore, this paper purposes a behavioral measurement model suitable for the sensing nodes of Internet of Things to make up the insufficient of existed sensing nodes measurement mechanism of Internet of Things. This model is designed for the Internet of Things, and bases on the identity authentication and the static measurement to measure the behavior of sensing nodes. It through designs different behavior measurement functions to assess and calculate the behavior of sensing nodes synthetically. According to divide the trusted level of sensing nodes, this model can defense the attacks, such as the node hijacking attack, the physical capture attacks and the denial of service attacks.