A New Privacy-Preserving Data Publishing Algorithm Utilizing Connectivity-Based Outlier Factor and Mondrian Techniques

Privacy - 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...

Privacy Preserving Techniques in Social Networks Data Publishing - A Review

Development of online social networks and publication of social network data has led to the risk of leakage of confidential information of individuals. This requires the preservation of privacy before such network data is published by service providers. Privacy in online social networks data has been of utmost concern in recent years. Hence, the research in this field is still in its early year...

A Survey on Big Data & Privacy Preserving Publishing Techniques

Big data describes very large data sets that have more diverse and complicated structure like weblogs, social media, email, sensors, and photographs. These less structured data and distinctiveness characteristics from traditional databases typically associated with extra complications in storing, analyzing and applying further procedures or extracting results. Big data analytics is the process ...

Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques

Towards Privacy Preserving Data Publishing∗

High quality and useful knowledge is to be found in the integrated data from various organizations, and the discovered knowledge is essential for building intelligent systems such as business analysis and health surveillance. However, concern about breaching privacy is a major obstacle of this process. This project aims to develop new efficient and effective techniques for privacy protection in...