摘要
Abstract
In the era of big data,the collection,storage and analysis of massive data bring serious challenges to information security and privacy protection.Traditional security protection techniques are difficult to meet the privacy protection needs in the big data environment.Therefore,there is an urgent need to study privacy protection techniques for big data.By analyzing the risk of privacy leakage in big data environment and summarizing the existing privacy protection methods,a privacy protection framework combining data desensitization,access control and encryption techniques is proposed.Experimental results show that the framework can effectively reduce the risk of privacy leakage and protect users'sensitive information.Meanwhile,the framework has good scalability and robustness,which provides new ideas for privacy protection in big data environment.关键词
大数据/信息安全/隐私保护/脱敏/访问控制/同态加密Key words
big data/information security/privacy protection/desensitization/access control/homomorphic encryption分类
信息技术与安全科学
