Sensitive data hiding in financial anti-fraud process
by Vassilios S. Verykios; Elias C. Stavropoulos; Vasilis Zorkadis; George Katsikatsos; Evangelos Sakkopoulos
International Journal of Electronic Governance (IJEG), Vol. 14, No. 1/2, 2022

Abstract: This research presents an approach to protect personally identifiable information in compliance with the national and European institutional data protection framework in a way that still allows interoperability of information systems and applications. It is proposed to adopt privacy-preserving information hiding techniques to facilitate targeted data mining without infringing privacy restrictions. This approach is proposed as a strategic tool in the fight against financial and insurance fraud. To resolve issues related to the implementation of the protected registration interface process, the research team is turning attention to the development of algorithms and approaches based on intelligent itemset hiding. The research proposal attempts to contribute to the strategic modernisation of public authorities and financial organisations, aiming at the production of original software to provide services to them, facilitating and accelerating the work to combat fraud. The approach is analytically prevailing on previous approaches and it has experimentally shown encouraging results.

Online publication date: Mon, 06-Jun-2022

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