TENSOR EU Project

Part of EU Open Research Repository
Published September 5, 2024 | Version v1
Conference paper Open

Enhancing Secure Cross-Border Collaboration among Law Enforcement Agencies for Facial Biometric Search

Authors/Creators

  • 1. Institute of Computer Science (ICS) Foundation for Research and Technology - Hellas (FORTH) Heraklion, Greece
  • 2. Department of Informatics and Telematics Harokopio University of Athens Athens, Greece
  • 3. Department of Computer Science University of Crete Heraklion, Greece

Description

Addressing the growing challenge of combating international crime involves the development of secure and efficient methodologies that allow Law Enforcement Agencies to exchange information seamlessly, without being hindered by time-consuming bureaucratic processes. In this context, we present a solution centered on facial biometric search methodologies. Our approach underscores the importance of employing accurate and reliable methods to assess image data similarity, particularly in the domain of facial images, which pose unique challenges due to subtle variations. We propose a comprehensive solution that harnesses hashing techniques and homomorphic encryption. By doing so, our approach ensures secure data exchange while safeguarding confidentiality and integrity. We firmly believe that our approach will substantially improve collaboration in law enforcement efforts and make significant contributions to global security.

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Enhancing Secure Cross-Border Collaboration among Law Enforcement Agencies for Facial Biometric Search.pdf

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Additional details

Identifiers

URL
https://tensor-horizon.eu/wp-content/uploads/2024/09/6.pdf

Funding

European Commission
TENSOR - Reliable biomeTric tEhNologies to asSist Police authorities in cOmbating terrorism and oRganized crime 101073920

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