Enhancing International Security: A Secure Biometric Data Sharing Framework for Effective Cross-Border Crime and Terrorism Prevention

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.

Authors

Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825067
Citations
1
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing International Security: A Secure Biometric Data Sharing Framework for Effective Cross-Border Crime and Terrorism Prevention

Chrysostomos Symvoulidis, Dimitrios Drakoulis, Konstantinos Koutsoukos, Georgios Benos
1 citations
Privacy-Preserving Technologies in Data
0.35
article

Enhancing International Security: A Secure Biometric Data Sharing Framework for Effective Cross-Border Crime and Terrorism Prevention

Chrysostomos Symvoulidis, Dimitrios Drakoulis, Konstantinos Koutsoukos, Georgios Benos
article en
1 citations

Abstract

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.

HORIZON EUROPE Framework Programme
Peace, Justice and strong institutions
Openalex Percentile: Top 30%
Privacy-Preserving Technologies in Data
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.