Privacy preserving data publishing: Review
نویسندگان
چکیده
Privacy preserving data publishing (PPDP) methods a new class of privacy preserving data mining (PPDM) technology, has been developed by the research community working on security and knowledge discovery. It is common to share data between two organizations in many application areas. When data are to be shared between parties, there could be some sensitive patterns which should not be disclosed to the other parties. These methods aims to keep the underlying data useful based on privacy preservation “utility based method based on privacy preservation, and created tremendous opportunities for knowledgeand information-based decision making. Recently, PPDP has received considerable attention in research communities, and many approaches have been proposed for different data publishing scenarios. In this survey, we will systematically summarize and evaluate different approaches to PPDP, study the challenges in practical data publishing, clarify the differences and requirements that distinguish PPDP from other related problems, and propose future research directions.
منابع مشابه
ارایه یک روش جدید انتشار دادهها با حفظ محرمانگی با هدف بهبود دقّت طبقهبندی روی دادههای گمنام
Data collection and storage has been facilitated by the growth in electronic services, and has led to recording vast amounts of personal information in public and private organizations databases. These records often include sensitive personal information (such as income and diseases) and must be covered from others access. But in some cases, mining the data and extraction of knowledge from thes...
متن کاملPrivacy Preserving Techniques on Centralized, Distributed and Social Network Data - A Review
Privacy Preserving Data Publishing refers publishing data in such a way that the privacy of the individuals are preserved. The Published data can further be used for various Data Analysis and Data Mining tasks. Techniques used to preserve privacy of individuals before publishing is called Anonymization Techniques. Initially only centralized data need to be published for analysis and Mining. Lat...
متن کاملPrivacy - Preserving Data Publishing
The success of data mining relies on the availability of high quality data. To ensure quality data mining, effective information sharing between organizations becomes a vital requirement in today's society. Since data mining often involves person-specific and sensitive information like medical records, the public has expressed a deep concern about their privacy. Privacy-preserving data publishi...
متن کاملAn Effective Method for Utility Preserving Social Network Graph Anonymization Based on Mathematical Modeling
In recent years, privacy concerns about social network graph data publishing has increased due to the widespread use of such data for research purposes. This paper addresses the problem of identity disclosure risk of a node assuming that the adversary identifies one of its immediate neighbors in the published data. The related anonymity level of a graph is formulated and a mathematical model is...
متن کاملA Survey of Privacy Preserving Data Publishing using Generalization and Suppression
Nowadays, information sharing as an indispensable part appears in our vision, bringing about a mass of discussions about methods and techniques of privacy preserving data publishing which are regarded as strong guarantee to avoid information disclosure and protect individuals’ privacy. Recent work focuses on proposing different anonymity algorithms for varying data publishing scenarios to satis...
متن کامل