基于逆向运算法的海量大数据安全存储方法

Secure Storage Method of Massive Big Data Based on Reverse Operation

为解决传统大数据安全存储方法存在的加解密时间长与存储速率低的问题,提出一种基于逆向运算法的海量大数据安全存储方法。通过AES算法中查询表模块、密匙扩展模块及加解密模块的功能设计实现大数据的加密处理;设计一种用于存储加密数据的海量大数据分层存储模型,在加密数据的读取中,通过逆向运算法恢复数据,实现海量大数据的安全存储;搭建Hadoop集群测试环境测试设计方法的加密性能与存储性能。测试结果表明:该方法的加密与解密时间均低于20 s,影像数据存储速度高于580 MB/s,语音数据存储速度高于916 MB/s,能有效缩短大数据存储的加解密时间,提高多类资源的存储速度。

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.