%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Rangappa_EAIICDF2C2024_2024,
         author = {Rangappa, Pradeep and Amand, Muscat and Lara, Alejandra Sanchez and Motlicek, Petr and Antonopoulou, Michaela and Fourfouris, Ioannis and Skarlatos, Antonios and Avgerinos, Nikos and Tsangaris, Manolis and Kostka, Kasia},
       keywords = {TRACY {\textperiodcentered} Law Enforcement Agencies {\textperiodcentered} Suspect Detection{\textperiodcentered} Non-Content Data{\textperiodcentered} Social Influence Analysis{\textperiodcentered} Link Prediction},
       projects = {TRACY},
          month = oct,
          title = {Detecting Criminal Networks via Non-Content Communication Data Analysis Techniques from the TRACY Project},
      booktitle = {15th EAI International Conference on Digital Forensics & Cyber Crime},
           year = {2024},
       abstract = {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 paper
presents 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 the
identification of offenders involved in serious and organized crime.},
            pdf = {https://publications.idiap.ch/attachments/papers/2024/Rangappa_EAIICDF2C2024_2024.pdf}
}