A Trusted Evaluation Method for Sensing Cloud Data Collection

Abstract

The invention discloses a trusted sensing cloud data collection and evaluation method that is used for trust evaluation on a node and a mobile base station in a network during a sensing cloud data collection process. According to the method, a working area of a mobile base station is determined, wherein the area is determined by the number M of mobile base stations; the logical relationship of the system is determined as follows: sending data to a target node Sj by a subjective node Si; and when the target node Sj is not within the scope of the subjective node Si, data exchange needs to be forwarded by recommending a node; models for evaluating trust degrees of a node and a mobile base station in the network is established, wherein the models consist of a direct trust model Tdir, an indirect trust model Tindir and a functional trust model Tfunct; and then according to evaluation parameters Tdir, Tindir, and Tfunct obtained by calculation at the last step, a confidence level of sensing cloud data collection is determined. According to the invention, malicious attacks in the data collection process can be resisted effectively and the reliability of sensing cloud system data collection can be improved; and usability of the data can be ensured.

Description

technical field [0001] The present invention relates to the field of network security, in particular to a credible sensor cloud data collection and evaluation method, specifically, through trust evaluation of nodes and base stations in the sensor cloud network, the reliability and reliability of sensor cloud data collection are improved. integrity. Background technique [0002] The sensor cloud system is the product of the combination of sensor network and cloud computing. It not only has the ability to perceive the physical world, but also can efficiently process and store large amounts of data. The sensing cloud system has a three-layer structure: physical sensing layer, virtual sensing layer and user layer. The physical perception layer is composed of sensor nodes with different functions self-organized into a network, and provides sensing data to the upper layer. The virtual sensing layer is composed of a cloud server and a virtual sensor node group. The cloud server m...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a credible sensor cloud data collection and evaluation method, which overcomes many disadvantages of the authentication and encryption method existing in the credible sensor cloud data collection and evaluation method of the prior art, and cannot resist malicious attacks, making The integrity and availability of sensor cloud data collection cannot be guaranteed, and on the basis of considering the security of multiple mobile base stations, design a corresponding mobile base station evaluation plan to improve the integrity and availability of sensing data

Images