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Exploring the Privacy Black Hole

机译:探索隐私黑洞

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摘要

With the popularization of electronic communication and social media, people-related information data has increased massively, which brings about a series of "privacy data risks" such as information data leakage. Conducting the personal behavior data as the index, the application domain as the criterion layer, and the personal privacy price as the goal, the personal privacy pricing model is established based on the analytic hierarchy process. Then we get the revised model of private pricing by combing the privacy valuation function and the market supply and demand relationship. Taking brand, quality, strategic factors into consideration, we establish the group privacy pricing system, national privacy pricing model.
机译:随着电子通信和社交媒体的普及,人们相关信息数据量大大幅增加,这带来了一系列“隐私数据风险”,例如信息数据泄漏。将个人行为数据作为索引,应用程序域作为标准层,以及个人隐私价格为目标,是基于分析层次过程建立的个人隐私定价模型。然后,我们通过梳理隐私估值函数和市场供需关系来获得私人定价的修订模型。考虑品牌,质量,战略因素,我们建立了集团隐私定价制度,国家隐私定价模式。

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