Journal of Information Security Reserach ›› 2023, Vol. 9 ›› Issue (6): 543-.

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Research on the Integration of Full Lifecycle Data Security Management and Artificial Intelligence Technology#br#


  • Online:2023-06-04 Published:2023-06-03



  1. 1(中国信息通信研究院安全研究所北京100018)
  • 通讯作者: 张昊星 硕士,工程师.主要研究方向为数据安全、信息安全以及互联网安全监管治理.
  • 作者简介:张昊星 硕士,工程师.主要研究方向为数据安全、信息安全以及互联网安全监管治理. 赵景欣 硕士研究生.主要研究方向为网络和信息系统安全. 岳星辉 硕士研究生.主要研究方向为网络和信息系统安全. 任家东 博士,教授,CCF高级会员,IEEE和ACM会员.主要研究方向为数据挖掘、时态数据建模和软件安全.

Abstract: With data becoming a new production factor, China has elevated data security to a national strategic level. With the promotion of a new round of technological revolution and the deepening of digital transformation, the artificial intelligence technology has increasing development potential, and gradually empowers the field of data security management actively. Firstly, the paper introduces the concept and significance of data security lifecycle management, analyzes the security risks faced by data in various stages of the lifecycle, and further discusses the problems and challenges faced by traditional data security management technologies in the context of massive data processing and upgraded attack methods. Then, the paper introduces the potential advantages of artificial intelligence in solving these problems and challenges, and summarizes the current mature data security management technologies based on artificial energy and typical application scenarios. Finally, the paper provides an outlook on the future development trends of artificial intelligence technologies in the field of data security management. This paper aims to provide useful references for researchers and practitioners in the field of data security management, and promote the innovation and application of artificial intelligence in the field of data security management technology.

Key words: artificial intelligence, data security management, lifecycle management, natural language processing, data privacy protection

摘要: 数据逐渐成为新型生产要素,我国已将数据安全提升至国家战略高度.随着新一轮科技革命推动和数字化转型不断深化,人工智能技术的发展潜力日益凸显,并逐渐为数据安全管理领域积极赋能.首先,介绍了数据安全全生命周期管理的概念和意义,分析了数据在生命周期各个阶段所面临的安全风险,并进一步论述了传统数据安全管理技术在海量数据处理和攻击手段升级的背景下所面临的问题和挑战;然后,介绍了人工智能为解决这些问题和挑战的潜在优势,并总结了目前比较成熟且典型的基于人工能的数据安全管理技术和应用场景;最后,对人工智能技术在数据安全管理领域未来的发展趋势进行了展望.旨在为数据安全管理领域的研究者和实践者提供有益的参考,推动人工智能在数据安全管理技术领域的创新和应用.

关键词: 人工智能, 数据安全管理, 全生命周期管理, 自然语言处理, 数据隐私保护