Thumbnail Image
Item

SENSEI: Scraper for ENhanced AnalySis to Evaluate Illicit Trends

De Pascale,Daniel
; 
Cascavilla,Giuseppe
; 
Tamburri,Damian A.
; 
Van Den Heuvel,Willem Jan
Abstract
Over the last years, we faced an exponential growth of illegal online market services in the Dark Web, making it easier than ever before of acquiring illicit goods online via a simple service interaction. To study and understand this emerging illegal services economy, we developed a trend analysis and (dark-)web services monitoring tool: SENSEI, which stands for ‘Scraper for ENhanced analySis to Evaluate Illicit trends’. SENSEI extracts specific service transaction trends and analyses the human behaviours behind, to produce symmetric insights on specific service transaction habits from both customers and vendors on the Dark Web. Moreover, a trend analysis tool is provided to discover and typify relationships among different criminal activities and hence provide evidence and support investigation activities and Law Enforcement Agencies (LEAs) detecting criminal operations.
Description
Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Collections
Tilburg University Research Output Collection
Show all metadata
Files
Thumbnail Image
Sensei.pdf
Adobe PDF, 1.05 MB
Research Projects
Organizational Units
Journal Issue
Keywords
Dark Web, Illicit goods, LEAs, Trend analysis
Citation
De Pascale, D, Cascavilla, G, Tamburri, D A & Van Den Heuvel, W J 2023, SENSEI : Scraper for ENhanced AnalySis to Evaluate Illicit Trends. in J Troya, R Mirandola, E Navarro, A Delgado, S Segura, P Fernández, G Ortiz, C Pautasso, C Zirpins & A Ruiz-Cortés (eds), Service-Oriented Computing – ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13821 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 374-383, Workshops on ASOCA, AI-PA, FMCIoT, WESOACS 2022, held in Conjunction with the 20th International Conference on Service-Oriented Computing, ICSOC 2022, Seville, Spain, 29/11/22. https://doi.org/10.1007/978-3-031-26507-5_36
URI
https://hdl.handle.net/20.500.14602/25984
Embedded videos