Defining Privacy for Data Mining
نویسندگان
چکیده
Privacy preserving data mining – getting valid data mining results without learning the underlying data values – has been receiving attention in the research community and beyond. It is unclear what privacy preserving means. This paper provides a framework and metrics for discussing the meaning of privacy preserving data mining, as a foundation for further research in this field.
منابع مشابه
Efficiency concerns in Privacy Preserving Association Rule Mining -Optimization of algorithm MASK
An interesting new direction for data mining research is the development of techniques that incorporate privacy concerns. Being an emerging field, major concentration so far has been on defining the metrics of privacy and establishing the technical feasibility of development of accurate models about aggregated data while meeting the goals of privacy. Thus the goal of the research in privacy pre...
متن کاملToward Standardization in Privacy-Preserving Data Mining
Issues about privacy-preserving data mining (PPDM) have emerged globally. The recent proliferation in PPDM techniques is evident. Motivated by the increasing number of successful techniques, the new generation in PPDM moves on toward standardization because it will certainly play an important role in the future of PPDM. In this paper, we lay out what needs to be done and take some steps toward ...
متن کاملC-safety: a framework for the anonymization of semantic trajectories
The increasing abundance of data about the trajectories of personal movement is opening new opportunities for analyzing and mining human mobility. However, new risks emerge since it opens new ways of intruding into personal privacy. Representing the personal movements as sequences of places visited by a person during her/his movements semantic trajectory poses great privacy threats. In this pap...
متن کاملIntroducing an algorithm for use to hide sensitive association rules through perturb technique
Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...
متن کاملPrivacy and Security of Big Data in THE Cloud
Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002