Secured Data Sharing Method for Wireless Communication Network Based on Digital Twin and Merkle Hash Tree

Data protection shares sensitive data with authorized users over a wireless communication network (WCN). To protect the data, a secured sharing method for WCNs is required, which is studied using digital twin and Merkle hash tree. This method builds the data-sharing environment of a WCN based on digital twin modeling. The twin-shared environment uses data encryption and authentication schemes based on the Merkle hash tree. The protected network data is encrypted based on time-frequency sensitive features. Then, a safe inverted index of encrypted sensitive data is built with Bloom filter, and the index is encoded by Merkle hash tree. By developing the network security authentication program and providing encrypted data information only for authentic users, the data security sharing of the WCN is realized. Experiment shows that data produced by the proposed method is same as the WCN data sharing process, with the encrypted transmission on the bus. The feature distribution of data changes significantly after encryption, where the distribution frequency increases from an average 75 Hz to 150 Hz, making it less susceptible to malicious theft. The length of transmission data loss is less than 2 bits, moreover, the loss is 0 when the transmission data length is less than 32 bits.