9 Squares: Framing Data Privacy Issues

2 Framing Issues

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...

Research issues in Privacy Preserving Data Integration

With the development of large computerized electronic records storage systems, the need to have a comprehensive framework that safeguards the privacy and security concerns of an individual organization and yet at the same time allows for free sharing of important records has been felt for quite sometime. Activities such as sharing data from scientific research, monitoring disease symptoms over ...

Privacy Preserving Issues in Data Publishing

Data publishing is recently focused more for the data analysis. In recent days, the data creation is enormous in all the fields. Predictive analytics uses all the data collected from various sources for predicting the future even though there is uncertainty in information gathered. The data used for analysis should not affect the privacy for the record owners. In all the sectors, organizations ...

Security and Privacy Issues of Big Data

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and publi...