Paper accepted at the Transactions on Information Forensics and Security

Dinusha Vatsalan had a paper accepted at the Transactions on Information Forensics and Security (TIFS).

• Aris Gkoulalas-Divanis, Dinusha Vatsalan, Dimitrios Karapiperis, and Murat Kantarcioglu, “Proposal for an Overview Article on Modern Privacy-Preserving Record Linkage Techniques”, accepted by the Transactions on Information Forensics and Security (TIFS) Journal, 2021.

Over the last decade, Privacy-Preserving Record Linkage (PPRL) has significantly evolved with new research directions that solve some of the key challenges of Big data. Known as the “data-driven” generation, this fourth generation of techniques (2014–2020) involves methods that are tailored specifically for data-driven properties, with the aim of enhancing all three aspects of PPRL that were identified in the first three generations, namely privacy guarantees, linkage quality, and scalability for Big data applications. Anticipating that the future generation of PPRL techniques will be analytics-driven (as we are entering into the era of analytics from Big data with rapid advances in data science, particularly on the frontiers of analytic techniques such as machine learning and deep learning), the research developments, as well as the gaps in the current literature of PPRL, need to be thoroughly investigated to guide the future directions. In our overview article, we will focus on the fourth generation of PPRL techniques, which correspond to a decade of research in PPRL that has led to many novel approaches.