大数据信息隐私保护技术与挑战概述

Hanze Wan
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摘要

随着移动互联网、云计算、物联网等先进技术的快速发展,大数据时代逐渐来临。在这个时代,大数据已广泛应用于商业、金融、社交、医疗等各个领域,数据的价值日益凸显。数据成为新的生产要素,数字经济成为发展新引擎,成为推动社会进步和经济发展的重要动力。然而,随着大数据技术的发展,数据泄露和滥用的风险也随之增加。如 2020 年 3 月新浪微博数据泄露事件,攻击者攻破新浪微博部分数据库,获取包括真实姓名、网站用户名、性别、位置、电话号码等敏感数据,影响 5.38 亿微博用户。因此,人们对数据信息隐私保护的要求越来越高。本文将探讨数据信息隐私保护的核心技术和应用场景,并研究现实生活中的数据隐私保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of big data information privacy protection technology and challenges
With the rapid development of advanced technologies like the mobile internet, cloud computing, and the Internet of Things, the era of big data is gradually upon us. In this era, big data has been widely utilized in various fields like business, finance, social networking, and healthcare, and the value of data has become increasingly prominent. Data has become a new factor of production, the digital economy has become a new engine of development, and an important driving force for promoting social progress and economic development. However, with the advancement of big data technology, the risks of data leakage and misuse have increased. Personal data information leakage or misuse can lead to personal privacy infringement and fraud, such as the Sina Weibo data leak in March 2020 where attackers breached part of the Sina Weibo database, obtaining sensitive data including real names, website usernames, genders, locations, and phone numbers, impacting 538 million Weibo users. Therefore, there is an increasing demand for data information privacy protection. This paper will explore the core technologies and application scenarios in data information privacy protection and investigate data privacy protection in real-life settings.
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