Origin Privacy: Protecting Privacy in the Big-Data Era
user-5ebe282a4c775eda72abcdce(2018)
摘要
Existing data protection laws sometimes restrict information flow based on its origin or provenance. These origin-based rules are distinct from information flow rules that restrict information based on its topic. In addition to sometimes being directly specified in law, information origin rules are less ambiguous than information topic rules. We call the conception of privacy as that maintained by complying with origin-based rules Origin Privacy. Our work motivates then formally specifies, implements, and analyzes origin rules to information flow.Descriptors: data processing, data set, databases, health care, information security, air force, computer science, computers, information processing, random variables, biometric security, cybersecurity, data analysis, probability distributions, big data, computer programming, bayesian networks, health services, information science, digital data
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络