Research on lightweight security aggregation transmission method for massive vehicle network interaction data

In the process of vehicle-network interaction, privacy data is easy to leak and data collection and transmission resources are large. The existing aggregation algorithms cannot efficiently complete the rapid aggregation of vehicle-network interaction data and ensure safety. In this paper, an interactive data security acquisition scheme of vehicle network based on compressed sensing is proposed. Firstly, the whole network is randomly divided into non-overlapping clusters, and each electric vehicle node is regarded as a data sample. Then the random value is generated by using the Bernoulli matrix, which is used to construct the global sparse measurement matrix. Finally, the cluster head receives the measurement value and the Bernoulli random value from the child node, and the compression observation is carried out by the sink node. On the other hand, the aggregator can verify the collected data and send it to the power system control center for decryption. Due to the introduction of a trusted third party, this scheme can ensure the integrity of the data and deal with disputes between the smart grid control center and the user side. According to the test results, this algorithm has smaller reconstruction error and aggregation cost, which can effectively meet the safety efficiency requirements of the vehicle network interaction process.