Practical Issues on Privacy-Preserving Health Data Mining
نویسنده
چکیده
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results cannot, with any reasonable degree of certainty, violate data privacy. We outline privacypreserving data mining techniques/systems in the literature and in industry. They range from privacy-preserving data publishing, privacypreserving (distributed) computation to privacy-preserving data mining result release. We discuss their strength and weaknesses respectively, and indicate there is no perfect technical solution yet. We also provide and discuss a possible development framework for privacy-preserving health data mining systems.
منابع مشابه
Privacy Preserving Data Mining Techniques: Challenges & Issues
Privacy preserving becomes an important issue in the development of various data mining techni'ques. In this paper, we have discussed various techniques to preserve privacy while mining data. In the absence of uniform framework across all data mining techniques, researchers have focused on data technique specific privacy preserving issue. Available framework and algorithms provide further insig...
متن کاملPrivacy Preserving Data Mining: An Extensive Survey
— Proper integration of privacy into data mining operations is so crucial for the wide-spread acceptance of knowledge-based applications. The data mining applications involve data rich environments such as Biomedicine in terms of electronic health records, Internet in terms of web usage logs and Wireless Networks in terms of mobility data from sensors and a lot more. Privacy in data mining can ...
متن کاملPrivacy-Preserving Distributed Data Mining Techniques: A Survey
In various distributed data mining settings, leakage of the real data is not adequate because of privacy issues. To overcome this problem, numerous privacy-preserving distributed data mining practices have been suggested such as protect privacy of their data by perturbing it with a randomization algorithm and using cryptographic techniques. In this paper, we review and provide extensive survey ...
متن کاملPrivacy Preserving Frequency Mining in 2-Part Fully Distributed Setting
Recently, privacy preservation has become one of the key issues in data mining. In many data mining applications, computing frequencies of values or tuples of values in a data set is a fundamental operation repeatedly used. Within the context of privacy preserving data mining, several privacy preserving frequency mining solutions have been proposed. These solutions are crucial steps in many pri...
متن کاملA review on Security in Distributed Information Sharing
In recent year’s privacy preserving data mining has emerged as a very active research area in data mining. Over the last few years this has naturally lead to a growing interest in security or privacy issues in data mining. More precisely, it became clear that discovering knowledge through a combination of different databases raises important security issues. Privacy preserving data mining is on...
متن کامل