河南师范大学学报(自然科学版)

2021, v.49;No.221(06) 91-98

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隐私保护的网络实名制体系研究
Research on privacy-preserving internet real-name system

张萍;蒋琳;
Zhang Ping;Jiang Lin;Department of Network and Information Security, Guangdong Police College;School of Computer Science and Technology, Harbin Institute of Technology;

摘要(Abstract):

在我国,实名制已在部分领域逐步得到了实现,但距离全面实施网络实名制体系还有大量的问题亟待研究解决,尤其是如何寻求隐私数据保护与数据价值利用的平衡.利用完全同态密码算法、ElGamal数字签名和基于大数据的多层次异常事件检测等技术,提出了一个针对我国国情的网络实名制体系设计.此设计创新的将用户隐私数据分为高敏感度和低敏感度数据库,高敏度数据只以密文的形式存储,低敏感度数据在经过数据中心的处理后交给网络服务商,同时利用同态加密的特点实现密文层次的运算.在将用户额外操作开销最小化的同时,保障用户的个人隐私信息免遭非授权的访问,并为执法部门打击网络违法犯罪行为提供了有力的工具.
In China, the real-name system has been gradually realized in some fields, but a lots of problems are still to be studied and solved before the full implementation of the internet real-name system, especially the way to find the balance between privacy data protection and data value utilization. In this paper, using secret sharing algorithm, ElGamal digital signature and multi-level anomaly detection based on big data technology, we put forward a design of internet real-name system according to the condition of China. This design guarantees that the user's personal privacy information is protected from unauthorized access while minimizing additional operational overhead of the user, and provides a convenient tool for law enforcement authorities to combat Internet crime.

关键词(KeyWords): 隐私保护;实名制;同态加密;电子取证;数据挖掘
privacy preserving;real-name system;Homomorphic eneryption;digital forensics;data mining

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(61872109);; 广东省教育厅青年创新人才类项目(2018KQNCX175)

作者(Author): 张萍;蒋琳;
Zhang Ping;Jiang Lin;Department of Network and Information Security, Guangdong Police College;School of Computer Science and Technology, Harbin Institute of Technology;

Email:

DOI: 10.16366/j.cnki.1000-2367.2021.06.013

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