[Publication] The Future of Law Enforcement: How PRESERVE’s AI and Big Data Solutions Benefit Public Safety

Published in the Conference Proceedings of the 6th International Conference in Electronic Engineering & Information Technology (EEITE).

Freideriki Makri, Sotirios Spantideas, George Kokkinis, and Nikolaos Kapsalis from KEMEA, Pedro Alonso Doval and Inés Ortega-Fernandez from Gradiant, and Marcos Varveris from EXUS Software are the authors of the publication “The Future of Law Enforcement: How PRESERVE’s AI and Big Data Solutions Benefit Public Safety,” published in the 2025 6th International Conference in Electronic Engineering & Information Technology (EEITE).

Abstract

As traditional policing methods struggle with the complexity of cybercrime, European Law Enforcement Agencies (LEAs) are required to employ advanced technologies to combat digital crime while upholding EU regulations about privacy and data protection. They often struggle to hold on with the fast-changing modus operandi of criminals and terrorists who exploit the benefits of digital technologies. Moreover, LEAs must deal with issues of public trust that undermine their efforts. To tackle these challenges, the project PRESERVE empowers law enforcement officers with innovative solutions that adhere to privacy standards and facilitate the access to actionable intelligence. The PRESERVE toolkit implements Big Data and AI models, while integrating bias mitigation and ensuring compliance with existing ethical and legal frameworks, to enable crime prevention and detection. Thus, PRESERVE seeks to improve the allocation of police resources, promote predictive policing, and enable the timely and effective detection of cybercrime and terrorism by developing a legally compliant technological framework based on AI and Big Data methods.

Published in: 2025 6th International Conference in Electronic Engineering & Information Technology (EEITE), Chania, Greece, 2025, pp. 1-6
Published on 22 September 2025
doi: 10.1109/EEITE65381.2025.11166095
Electronic ISBN:979-8-3315-4419-5
ISBN:979-8-3315-4420-1