In order to solve the problems of long encryption and decryption time and low storage rate of traditional big data security storage methods, a massive big data security storage method based on reverse operation is put forward. Through the functional design of query table module, key expansion module and encryption and decryption module in AES algorithm, the big data encryption processing is realized; A massive big data hierarchical storage model for storing encrypted data is designed. During the reading of encrypted data, data is recovered through reverse operation to achieve the safe storage of massive big data; Build a Hadoop cluster test environment to test the encryption performance and storage performance of the design method. The test results show that the encryption and decryption time of this method is lower than 20 s, the storage speed of image data is higher than 580 MB/s, and the storage speed of voice data is higher than 916 MB/s. This method can effectively shorten the encryption and decryption time of big data storage, and improve the storage speed of multiple resources.