Trusted data collection method based on node trust value virtual force

Abstract

The invention relates to a credible data collection method based on node trust value virtual force, and the method comprises the steps: designing a node trust evaluation algorithm (including direct trust and indirect trust) according to the relation between nodes in the application of data collection of the Internet of Things, and calculating a quantitative trust value of each node; mapping the trust value of the node into physical force borne by the node, and giving attraction force to the trusted node and repulsive force to the untrusted node; simulating a moving initial path into a soft rope with magnetism, enabling the initial path to move under the action of node resultant force, and finally generating a credible data collection path with higher credibility; the credible cluster headnodes are accessed in sequence within a limited moving distance through the moving edge nodes, credible sensing data are collected and sent to surrounding base stations or directly applied to upper-layer users, and the purposes of system application and decision credibility are achieved.

Description

technical field [0001] The invention belongs to the field of information security of a large-scale wireless sensor network, and in particular relates to a trusted data collection method based on node trust value virtual force. Background technique [0002] The rapid development of the Internet of Things (IoT) and mobile applications has put forward more stringent requirements on cloud infrastructure and underlying wireless sensor networks, such as system security, ultra-low latency, network energy consumption and reliability, etc. These stringent requirements drive the need for highly localized services at the edge of the network close to the user. Therefore, Mobile Edge Computing (MEC) emerged as the times require. It is a distributed open platform that integrates network, computing, storage, and application core capabilities on the edge of the network close to the source of objects or data, and can provide edge intelligent services nearby. [0003] The data collected by t...

AI Technical Summary

Problems solved by technology

At the same time, it is also found that in the existing data acquisition research of the Internet of Things system, the efficient mobile data collectors used are all ordinary nodes at the bottom layer, and their computing power, storage capacity, communication ability and energy are very limited.

In addition, traditional mobile data collectors will visit most of the underlying nodes during the data collection process. Not only the delay is high, the energy consumption of the nodes is fast, but also many of the collected data are invalid data from malicious nodes.

Images