关键词: 大数据, 信息安全, 隐私保护系统, kubernetes集群技术, 并行存储, 属性分类

Abstract: In order to ensure the security of private information, realize the humanized encryption of information, and avoid the risk of privacy information leakage, a privacy information protection system based on big data analysis is designed. The cloud infrastructure layer takes Kubernetes cluster technology as the core to provide infrastructure support for system functions. On this basis, the big data processing layer processes information through filtering, deduplication and other operations, and then transmits information to the information protection layer through file transfer protocol. This layer is based on the TBS architecture, introduces MapReduce programming model, stores massive information in parallel. At the same time, privacy information protection model based on attribute classification is used to realize privacy information protection. The test results show that the system can complete the parallel storage of massive information, the information record link results are below 0.22, and the risk of privacy information disclosure is low, ensuring the privacy of information presentation; Moreover, the KL dispersion is within 0.18, and the information availability is good after privacy protection.

Key words: big data, information security, Private protection system, Kubernetes cluster technology, Parallel storage, Attribute Classification