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De-identification policy and risk distribution framework for securing personal information

机译:证明策略和风险分配框架,用于保护个人信息

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摘要

In the age of big data, many countries are implementing and establishing de-identification policies quite actively. There are many efforts to institutionalize de-identification of personal information to protect privacy and utilize the use of personal information. But even with such efforts, de-identification policy always has a potential risk that de-identified information can be re-identified by being combined with other information. Therefore, it is necessary to consider the management mechanism that manages these risks as well as a mechanism for distributing the responsibilities and liabilities in the event of incidents involving the invasion of privacy. So far, most countries implementing the de-identification policies are focusing on defining what de-identification is and the exemption requirements to allow free use of de-identified personal information. On the other hand, there is a lack of discussion and consideration on how to distribute the responsibility of the risks and liabilities involved in the process of de-identification of personal information. The purpose of this study is to compare the de-identification policies of the European Union, the United States, Japan, and Korea, all of which are now actively pursuing de-identification policies. Additionally, this study proposes to take a look at the various de-identification policies worldwide and contemplate on these policies in the perspective of risk society and risk-liability theory. The constituencies of the de-identification policies are identified in order to analyze the roles and responsibilities of each of these constituencies thereby providing the theoretical basis on which to initiate the discussions on the distribution of burden and responsibilities arising from the de-identification policies.
机译:在大数据时代,许多国家正在实施并积极建立去识别政策。有很多努力来制度化去确定个人信息以保护隐私并利用个人信息的使用。但是,即使在这种努力中,去识别政策始终具有通过与其他信息组合来重新识别去识别信息的潜在风险。因此,有必要考虑管理这些风险的管理机制,以及在涉及涉及隐私的事件发生的情况下分配责任和负债的机制。到目前为止,大多数实施去识别政策的国家都专注于定义取消识别和豁免要求,以允许自由使用去识别的个人信息。另一方面,关于如何分配涉及的个人信息进程中涉及的风险和负债的责任缺乏讨论和审议。本研究的目的是比较欧洲联盟,美国,日本和韩国的去识别政策,所有这些政策现在都积极追求去识别政策。此外,本研究提出了在风险社会和风险责任理论的角度来看全世界各种去识别政策,并考虑这些政策。确定了去识别政策的选区,以分析每个选区的角色和责任,从而提供理论依据,即开始讨论关于取消识别政策所产生的负担和责任的分配。

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