SENSEI: Scraper for ENhanced AnalySis to Evaluate Illicit Trends

Daniel De Pascale; Giuseppe Cascavilla; Damian A. Tamburri; Willem-Jan Van Den Heuvel

doi:10.1007/978-3-031-26507-5_36

SENSEI: Scraper for ENhanced AnalySis to Evaluate Illicit Trends

Daniel De Pascale (Corresponding author-nrf)
, Giuseppe Cascavilla
, Damian A. Tamburri
, Willem-Jan Van Den Heuvel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Service-Oriented Computing – ICSOC 2022 Workshops
Subtitle of host publication	ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29 – December 2, 2022 Proceedings
Editors	Javier Troya, Raffaela Mirandola, Elena Navarro, Andrea Delgado, Sergio Segura, Guadalupe Ortiz, Cesare Pautasso, Christian Zirpins, Pablo Fernández, Antonio Ruiz-Cortés
Place of Publication	Cham
Publisher	Springer
Pages	374-383
Number of pages	10
ISBN (Electronic)	978-3-031-26507-5
ISBN (Print)	978-3-031-26506-8
DOIs	https://doi.org/10.1007/978-3-031-26507-5_36
Publication status	Published - 19 Mar 2023
Event	Workshops on ASOCA, AI-PA, FMCIoT, WESOACS 2022, held in Conjunction with the 20th International Conference on Service-Oriented Computing, ICSOC 2022 - Seville, Spain Duration: 29 Nov 2022 → 2 Dec 2022

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Volume	13821
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Workshops on ASOCA, AI-PA, FMCIoT, WESOACS 2022, held in Conjunction with the 20th International Conference on Service-Oriented Computing, ICSOC 2022
Country/Territory	Spain
City	Seville
Period	29/11/22 → 2/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Dark Web
Illicit goods
LEAs
Trend analysis

Access to Document

10.1007/978-3-031-26507-5_36

Cite this

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, G. Ortiz, C. Pautasso, C. Zirpins, P. Fernández, & A. Ruiz-Cortés (Eds.), Service-Oriented Computing – ICSOC 2022 Workshops: ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29 – December 2, 2022 Proceedings (pp. 374-383). (Lecture Notes in Computer Science (LNCS); Vol. 13821). Springer. https://doi.org/10.1007/978-3-031-26507-5_36

De Pascale, Daniel ; Cascavilla, Giuseppe ; Tamburri, Damian A. et al. / SENSEI : Scraper for ENhanced AnalySis to Evaluate Illicit Trends. Service-Oriented Computing – ICSOC 2022 Workshops: ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29 – December 2, 2022 Proceedings. editor / Javier Troya ; Raffaela Mirandola ; Elena Navarro ; Andrea Delgado ; Sergio Segura ; Guadalupe Ortiz ; Cesare Pautasso ; Christian Zirpins ; Pablo Fernández ; Antonio Ruiz-Cortés. Cham : Springer, 2023. pp. 374-383 (Lecture Notes in Computer Science (LNCS)).

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title = "SENSEI: Scraper for ENhanced AnalySis to Evaluate Illicit Trends",

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 {\textquoteleft}Scraper for ENhanced analySis to Evaluate Illicit trends{\textquoteright}. 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.",

keywords = "Dark Web, Illicit goods, LEAs, Trend analysis",

author = "\{De Pascale\}, Daniel and Giuseppe Cascavilla and Tamburri, \{Damian A.\} and \{Van Den Heuvel\}, Willem-Jan",

year = "2023",

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doi = "10.1007/978-3-031-26507-5\_36",

language = "English",

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editor = "Javier Troya and Raffaela Mirandola and Elena Navarro and Andrea Delgado and Sergio Segura and Guadalupe Ortiz and Cesare Pautasso and Christian Zirpins and Pablo Fern{\'a}ndez and Antonio Ruiz-Cort{\'e}s",

booktitle = "Service-Oriented Computing – ICSOC 2022 Workshops",

address = "Germany",

note = "Workshops on ASOCA, AI-PA, FMCIoT, WESOACS 2022, held in Conjunction with the 20th International Conference on Service-Oriented Computing, ICSOC 2022 ; Conference date: 29-11-2022 Through 02-12-2022",

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De Pascale, D , Cascavilla, G , Tamburri, DA & 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, G Ortiz, C Pautasso, C Zirpins, P Fernández & A Ruiz-Cortés (eds), Service-Oriented Computing – ICSOC 2022 Workshops: ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29 – December 2, 2022 Proceedings. Lecture Notes in Computer Science (LNCS), vol. 13821, Springer, Cham, 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

SENSEI: Scraper for ENhanced AnalySis to Evaluate Illicit Trends. / De Pascale, Daniel (Corresponding author-nrf); Cascavilla, Giuseppe ; Tamburri, Damian A. et al.
Service-Oriented Computing – ICSOC 2022 Workshops: ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29 – December 2, 2022 Proceedings. ed. / Javier Troya; Raffaela Mirandola; Elena Navarro; Andrea Delgado; Sergio Segura; Guadalupe Ortiz; Cesare Pautasso; Christian Zirpins; Pablo Fernández; Antonio Ruiz-Cortés. Cham: Springer, 2023. p. 374-383 (Lecture Notes in Computer Science (LNCS); Vol. 13821).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - SENSEI

T2 - Workshops on ASOCA, AI-PA, FMCIoT, WESOACS 2022, held in Conjunction with the 20th International Conference on Service-Oriented Computing, ICSOC 2022

AU - Cascavilla, Giuseppe

AU - Tamburri, Damian A.

AU - Van Den Heuvel, Willem-Jan

A2 - De Pascale, Daniel

A2 - Troya, Javier

A2 - Mirandola, Raffaela

A2 - Navarro, Elena

A2 - Delgado, Andrea

A2 - Segura, Sergio

A2 - Ortiz, Guadalupe

A2 - Pautasso, Cesare

A2 - Zirpins, Christian

A2 - Fernández, Pablo

A2 - Ruiz-Cortés, Antonio

PY - 2023/3/19

Y1 - 2023/3/19

N2 - 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.

AB - 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.

KW - Dark Web

KW - Illicit goods

KW - LEAs

KW - Trend analysis

UR - https://www.scopus.com/pages/publications/85151054069

U2 - 10.1007/978-3-031-26507-5_36

DO - 10.1007/978-3-031-26507-5_36

M3 - Conference contribution

AN - SCOPUS:85151054069

SN - 978-3-031-26506-8

T3 - Lecture Notes in Computer Science (LNCS)

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BT - Service-Oriented Computing – ICSOC 2022 Workshops

PB - Springer

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ER -

De Pascale D , Cascavilla G , Tamburri DA , Van Den Heuvel WJ. SENSEI: Scraper for ENhanced AnalySis to Evaluate Illicit Trends. In Troya J, Mirandola R, Navarro E, Delgado A, Segura S, Ortiz G, Pautasso C, Zirpins C, Fernández P, Ruiz-Cortés A, editors, Service-Oriented Computing – ICSOC 2022 Workshops: ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29 – December 2, 2022 Proceedings. Cham: Springer. 2023. p. 374-383. (Lecture Notes in Computer Science (LNCS)). doi: 10.1007/978-3-031-26507-5_36

SENSEI: Scraper for ENhanced AnalySis to Evaluate Illicit Trends

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this