摘要
本研究聚焦于数据挖掘中的隐私保护机制建构，旨在应对大数据时代下个人隐私泄露的严峻挑战。首先，本文概述了数据挖掘的概念和特征，强调了数据挖掘技术在现代社会中的广泛应用及其潜在风险。随后，本文深入探讨了隐私权的基本含义，强调了个人隐私保护的重要性，包括维护人格尊严与自由、保护个人信息安全以及构建和谐社会关系。数据监管立法上的缺位和刑事立法缺乏详细性规定，使得隐私保护在法律层面存在不足。同时，不同利益主体间的相互博弈以及深度挖掘与个人隐私保护之间的不平衡问题，进一步加剧了隐私保护的难度。此外，大数据时代具有防不胜防的特点，使得个人隐私保护面临更大的挑战。为了有效解决这些困境，本文提出了数据挖掘中的隐私保护机制建构策略。首先，推进隐私权的刑法立法，为隐私保护提供更为坚实的法律基础。其次，完善个人隐私泄露应急预案，以便在发生隐私泄露事件时能够迅速响应并采取有效措施。同时，本文强调强创新数据监管的技术工具的重要性，通过研发和应用先进技术来提高数据监管的效率和准确性，降低隐私泄露的风险。此外，建立个人数据隐私泄露举报机制，鼓励公众积极参与监督，共同维护个人隐私安全。最后，强化各主体对数据的监管职责，形成合力共同维护数据安全。
关键词：数据挖掘；隐私保护；数据监管
Abstract
This study focuses on the construction of privacy protection mechanisms in data mining, aiming to address the severe challenges of personal privacy leakage in the era of big data. Firstly, this article provides an overview of the concepts and characteristics of data mining, emphasizing the widespread application and potential risks of data mining technology in modern society. Subsequently, this article delves into the basic meaning of privacy rights and emphasizes the importance of personal privacy protection, including maintaining personal dignity and freedom, protecting personal information security, and building harmonious social relationships. The absence of legislation on data regulation and the lack of detailed provisions in criminal legislation result in insufficient legal protection of privacy. Meanwhile, the mutual game between different stakeholders and the imbalance between deep mining and personal privacy protection further exacerbate the difficulty of privacy protection. In addition, the era of big data is characterized by an unpredictability, which poses greater challenges to personal privacy protection. To effectively address these challenges, this article proposes a strategy for constructing privacy protection mechanisms in data mining. Firstly, promote the legislation of criminal law on privacy rights, providing a more solid legal foundation for privacy protection. Secondly, improve the emergency response plan for personal privacy breaches, so that in the event of a privacy breach, one can quickly respond and take effective measures. At the same time, this article emphasizes the importance of technological tools for strong innovative data regulation, improving the efficiency and accuracy of data regulation through the development and application of advanced technologies, and reducing the risk of privacy leakage. In addition, establish a reporting mechanism for personal data privacy breaches, encourage the public to actively participate in supervision, and jointly maintain personal privacy and security. Finally, strengthen the regulatory responsibilities of all parties regarding data and form a joint effort to maintain data security.
Keywords: Data mining; Privacy protection; Data supervision
目录
一、绪论 1
1.1 研究背景及意义 1
1.2 国内外研究现状 1
1.3 研究目的及内容 2
二、基本理论概述 3
2.1 数据挖掘的概念、特征 3
2.1.1 数据挖掘的概念 3
2.1.2 数据挖掘的特征 3
2.2 隐私权的基本含义 4
2.2.1 基本含义 4
2.2.2 隐私权的法律特征 5
三、个人隐私保护的重要性 5
3.1 维护人格尊严与自由 5
3.2 保护个人信息安全 5
3.3 构建和谐社会关系 6
四、数据挖掘中的隐私保护困境 7
4.1 数据监管立法上的缺位 7
4.2 刑事立法缺乏详细性规定 7
4.3 不同利益主体间的相互博弈 8
4.4 深度挖掘与个人隐私保护不平衡问题 8
4.5 大数据时代具有防不胜防的特点 9
五、数据挖掘中的隐私保护机制建构 9
5.1 推进隐私权的刑法立法 9
5.2 完善个人隐私泄露应急预案 10
5.3强创新数据监管的技术工具 10
5.4 建立个人数据隐私泄露举报机制 11
5.5 强化各主体对数据的监管职责 11
六、结论 12
参考文献 13
