大数据环境下运营商敏感数据加解密策略实践

Practice on Operator Sensitive Data Encryption and Decryption Strategy Based on Large Data Environment

大数据给通信行业带来新的发展机遇,同时大数据安全也带来了很多的困扰,出现后台系统安全防护级别滞后于业务发展局面.针对大数据新技术特点和业务新形态应用,提出一种大数据平台下敏感数据加解密策略.基于对称AES加解密算法最优化实现的双模式加密,确保去隐私化且不影响系统性能,同时实现根据需求调用特定算法进行动态解密,满足不同业务场景使用.使得企业大数据前后台均在安全、隐私保护下对内、对外发挥更大的价值.

Big data has brought new development opportunities to the communication industry and also brought a lot of safety problems such as it could easily produce the background system security protection level lags behind the business development situation. In this paper, we propose a new static and decryption strategy for sensitive data in the large data platform,aiming at the new technical features of big data and the applicatioi of business new forms. Based on symmetry of AES encryption algorithm optimization to realize the dual mode static desensitization of the original data, make sure to privacy will not affect the system performance, and to achieve dynamically invoke a particular algorithm decryption according to particular demand and meet different business scenarios. It makes the enterprise big data front and backstage are all secure and private which protects the inside part while plays the greater value in the external.