Data privacy: principles and practice - download pdf or read online

By Nataraj Venkataramanan, Ashwin Shriram

ISBN-10: 1315353768

ISBN-13: 9781315353760

ISBN-10: 1498721044

ISBN-13: 9781498721042

The publication covers information privateness extensive with admire to facts mining, attempt facts administration, man made facts iteration and so on. It formalizes ideas of knowledge privateness which are crucial for stable anonymization layout in line with the knowledge structure and self-discipline. the foundations define top practices and consider the conflicting dating among privateness and application. From a tradition point of view, it offers practitioners and researchers with a definitive advisor to procedure anonymization of varied facts codecs, together with multidimensional, longitudinal, time-series, transaction, and graph facts. as well as aiding CIOs defend personal information, it additionally deals a tenet as to how this is often carried out for a variety of information on the firm level.

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Consider a personal loan application in a bank. It has over two hundred fields that need to be filled in by the applicant. Most of these fields happen to be QI. Such a high number of fields in QI proves a major challenge for a­ nonymization. PPDM is exploratory in nature, and irrespective of which anonymization technique is used, there is bound to be high information loss or low utility. With high-dimensional data, it becomes ­difficult to define a clear boundary between QI and SD as we do not know how much background knowledge an adversary has.

Li, On the trade-off between privacy and utility in data publishing, in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, Paris, France, June 28–July 1, 2009, pp. 517–525. N. Li, T. Li, and S. Venkatasubramanian, t-closeness: Privacy beyond k-­anonymity and l-diversity, in Proceedings of the IEEE International Conference Data Engineering (ICDE 2007), 2007, Istanbul, Turkey, pp. 106–115. 8. -W. Wong, J. -C. Fu, and K.  754–759. X. Xiao and Y.

Shlomo, Accessing microdata via the internet, Joint UN/ECE and Eurostat work session on statistical data confidentiality, Luxembourg, April 7–9, 2003. 11. D. Kifer and J. Gehrke, Injecting utility into anonymized datasets, in Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2006), Chicago, IL, June 27–29, 2006. 12. D. Greefhorst and E. Proper, Architecture Principles: The Cornerstone of Enterprise Architecture, Springer, Berlin, Heidelberg, 2011. P.  1010–1027.

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Data privacy: principles and practice by Nataraj Venkataramanan, Ashwin Shriram


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