Privacy-Preserving Record Linkage: A Survey of Key Concepts and Approaches

In today’s era massive data sets having large and complex structure with the difficulties of storing, analysing and visualizing for further processes or results. The voluminous data, especially personal data in multiple sources, present large opportunities and insight for businesses for analysis and investigating the value of linked and integrated data. Privacy is a major concern while we share or link data through networks of different organizations. Privacy Preserving Record Linkage (PPRL) aims to address this problem by identifying and linking records that correspond to the same real world entity across several data sources held by different parties without revealing any sensitive information about these entities. Data deduplication is intelligent comparison or single instance storage. It is a process that eliminates redundant copies of data and reduces storage overhead. In this article, we provide an overview of the research literature in privacy-preserving record linkage, discuss the different types of techniques that have been proposed. We conclude this work with an overview of PPRL techniques.