A Random Forest Based Encryption Algorithm for Privacy Data of E-Commerce Information
Rui Gong, Man Li · 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai) · 2022
In order to improve the ability of data being stolen by attacks, a privacy data encryption algorithm for e-commerce information based on random forest is proposed. The big data distribution structure model of privacy data is built, random forest hyper chaotic sequence is used to restructure the structure of privacy big data, the fuzzy correlation feature of privacy big data is extracted, hyper chaotic sequence reconstruction method is used to encode and rearrange the extracted privacy data correlation feature, random forest nonlinear vector quantization coding method is used to fuse and encrypt privacy big data, and random forest linear encryption key and decryption key are designed, encrypted transmission and information protection of privacy big data are realized. The simulation results show that the encryption performance of this method is up to 1.31%, and the encryption anti-attack performance is up to 1.000. It has good hyperchaos automation of private data, strong privacy protection ability and anti-attack ability of data encryption.