Enhancing International Security: A Secure Biometric Data Sharing Framework for Effective Cross-Border Crime and Terrorism Prevention
Georgios Benos, Konstantinos Koutsoukos, Chrysostomos Symvoulidis, Dimitrios Drakoulis · 2024
Terrorism and international crime prevention is a challenge which requires innovative approaches to law enforcement in order to be effectively addressed. In addition, there is an increasing need to facilitate on the development of higher cooperation among national and international law enforcement agencies towards the better crime control. Yet, due to privacy constraints this is often impossible. For this reason, this paper addresses this critical need by proposing a biometric data sharing framework which is designed to securely exchange such data among law enforcement agencies for such scenarios. The proposed framework, allows a seamless exchange of biometric information, thereby accelerating suspect identification, improving investigative efficacy, and preventing criminal activities. Finally, the framework is evaluated in a real-world scenario to assess its effectiveness, demonstrating its potential to significantly bolster global efforts against terrorism and organized crime.