Detail výsledku
Detecting Criminal Networks via Non-Content Communication Data Analysis Techniques from the TRACY Project
Muscat Amanda
Sanchez Lara Alejandra
Motlíček Petr, doc. Ing., Ph.D., UPGM (FIT)
Antonopoulou Michaela
Fourfouris Ioannis
Skarlatos Antonios
Avgerinos Nikos
Tsangaris Manolis
Kostka Kasia
This paper explores the critical role of non-content data(NCD), provided by electronic communications service providers in aiding criminal investigations. As highlighted by the Law Enforcement Agencies (LEAs) and the European Commission, NCD plays a fundamental role in identifying suspects and discerning behavioral patterns. Despite its significance, LEAs encounter various challenges in effectively analyzing the extensive volume of NCD. To address this issue, this paperpresents the importance of (although simulated but realistic) data collection, the technologies that can be built and the methods for detecting the suspect within the framework of the TRACY project. These techniques aim to enhance capabilities of LEAs by processing large-scale NCD and aligning it with existing evidence. By prioritizing the tracing of suspects movements and integrating data from diverse NCD sources, TRACY's initial approach on synthetic data promises to significantly advance theidentification of offenders involved in serious and organized crime.
Law Enforcement Agencies, Suspect DetectionNon-Content Data, Social Influence Analysis, Link Prediction
@inproceedings{BUT196783,
author="{} and {} and {} and Petr {Motlíček} and {} and {} and {} and {} and {} and {}",
title="Detecting Criminal Networks via Non-Content Communication Data Analysis Techniques from the TRACY Project",
booktitle="Proceedings of the15th EAI International Conference on Digital Forensics & Cyber Crime (EAI-ICDF2C24)",
year="2024",
journal="Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
volume="613",
number="11",
pages="340--353",
publisher="SPRINGER INTERNATIONAL PUBLISHING AGGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND",
address="Dubrovnik",
doi="10.1007/978-3-031-89363-6\{_}20",
issn="1867-8211",
url="https://publications.idiap.ch/attachments/papers/2024/Rangappa_EAIICDF2C2024_2024.pdf"
}