CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs-Reference-Cited by-同舟云学术

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Cazzolato Mirela¹^ORCID,Vijayakumar Saranya²^ORCID,Lee Meng-Chieh²^ORCID,Vajiac Catalina²^ORCID,Park Namyong²^ORCID,Fidalgo Pedro³^ORCID,Traina Agma J.M.⁴^ORCID,Faloutsos Christos²^ORCID

Affiliation:

1. Carnegie Mellon University & University of Sao Paulo, Sao Carlos, Brazil

2. Carnegie Mellon University, Pittsburgh, PA, USA

3. Mobileum and ISCTE-IUL, Lisbon, Portugal

4. University of Sao Paulo, Sao Carlos, Brazil

Funder

Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR) and the Army Research Office (ARO)

Portuguese Foundation for Science and Technology - FCT under CMU Portugal

Sao Paulo Research Foundation - FAPESP

Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES)

AIDA project - Adaptive, Intelligent and Distributed Assurance Platform

National Science Foundation Graduate Research

Pennsylvania Infrastructure Technology Alliance - PITA award

European Regional Development Fund - ERDF through the Operational Program for Competitiveness and Internationalisation - COMPETE 2020

National Council for Scientific and Technological Development (CNPq)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614662

Reference36 articles.

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2. Graph based anomaly detection and description: a survey

3. Mihael Ankerst , Markus M. Breunig , Hans-Peter Kriegel , and Jörg Sander . 1999 . OPTICS: Ordering Points To Identify the Clustering Structure. In SIGMOD Conference. ACM Press, 49--60 . Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, and Jörg Sander. 1999. OPTICS: Ordering Points To Identify the Clustering Structure. In SIGMOD Conference. ACM Press, 49--60.

4. Duen Horng Chau Aniket Kittur Jason I. Hong and Christos Faloutsos. 2011. Apolo: making sense of large network data by combining rich user interaction and machine learning. In CHI. ACM 167--176. Duen Horng Chau Aniket Kittur Jason I. Hong and Christos Faloutsos. 2011. Apolo: making sense of large network data by combining rich user interaction and machine learning. In CHI. ACM 167--176.

5. Communications Fraud Control Association (CFCA). 2019. Fraud Loss Survey. https://cfca.org/wp-content/uploads/2021/02/CFCA-2019-Fraud-Loss-Survey.pdf Version 1.0. Communications Fraud Control Association (CFCA). 2019. Fraud Loss Survey. https://cfca.org/wp-content/uploads/2021/02/CFCA-2019-Fraud-Loss-Survey.pdf Version 1.0.