大数据驱动的信息安全与隐私保护
Big Data-driven Information Security and Privacy Protection
房春博1
作者信息
- 1. 天津七一二通信广播股份有限公司,天津 300450
- 折叠
摘要
该文研究了大数据驱动的信息安全与隐私保护领域,探讨了大数据的迅猛发展对信息安全带来的挑战.分析了大数据与信息安全之间的关联,讨论了大数据分析可能导致的信息泄露和隐私侵犯问题.进一步介绍了多种大数据驱动的隐私保护方法,包括数据匿名化、访问控制、加密等技术.最后,通过总结研究成果,强调了隐私保护在大数据时代的重要性,并提供了对未来趋势和展望的洞察.
Abstract
This paper explores the field of information security and privacy protection driven by big data,focusing on the challenges posed by the rapid development of big data to information security.The correlation between big data and information security is analyzed,addressing potential issues of information leakage and privacy infringement result-ing from big data analysis.Furthermore,various big data-driven privacy protection methods are introduced,encompass-ing techniques such as data anonymization,access control,and encryption.In conclusion,the paper emphasizes the significance of privacy protection in the era of big data and provides insights into future trends and prospects.
关键词
大数据/信息安全/隐私保护Key words
big data/information security/privacy protection引用本文复制引用
出版年
2024
NETL
NSTL
万方数据