Interoperability of Information Sources for Identification With Privacy Preservation and Early Fraud Detection

The present work aims at the development of smart tools and techniques for the interoperability of information sources and the identification, timely detection, and suppression of forms of fraud with the assurance of data protection. The main goal is the research of smart techniques that will allow direct access to properly encoded and anonymized personal data. The innovation is in the ability to perform comparisons and actions that will allow all the necessary controls to address and prevent fraud, identifying the people that are involved in it, but not revealing personal information for other people recorded in files and registers. This is a novel approach to upgrade the operational action of public bodies and authorities and to give the possibility of dealing with fraud, and applying control to business groups and SMEs. In this work, the classification of users in terms of software use cases, the architecture of the approach and an integrated system of interoperability of information sources process is proposed. All technological developments were taken into account and the appropriate technological choices were made so that the implementing team is able to proceed with the implementation of the functional parts of the system software. Initial results are reported for a privacy-preserving process while cross-referencing files and information.