Big data desensitization and privacy protection method and related system

The invention belongs to the field of data security, discloses a big data desensitization and privacy protection method and a related system, and relates to forward index construction, reverse index construction and symmetric encryption based on a Bloom filter, key encryption through a CP-ABE algorithm, privacy processing and desensitization through a hidden Markov model. According to the method, the forward index is constructed by using the Bloom filter, large-scale data can be efficiently processed, memory consumption is reduced, and meanwhile, the method has the characteristic of quick query. According to the method, symmetric encryption is carried out on the target document with the established index, and confidentiality of data in the transmission and storage process is ensured. The method has multiple advantages in the aspects of data index construction, encryption protection, privacy processing, data analysis and the like, the security, privacy and processing efficiency of the target document can be ef