extended-abstract

Simulating SIMBox frauds for detection investigation

Authors:

Anne Josiane Kouam,

Aline Carneiro Viana,

Alain TchanaAuthors Info & Claims

CoNEXT-SW '22: Proceedings of the 3rd International CoNEXT Student Workshop

Pages 12 - 14

https://doi.org/10.1145/3565477.3569161

Published: 06 December 2022 Publication History

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Abstract

SIMBox fraud is one of the most prevalent scams in cellular networks that cause a significant monetary loss to mobile operators. It consists of diverting international voice traffic from regulated routes and rerouting it as local calls in the destination country. SIMBox fraud mitigation is challenging as it requires knowledge from both regular and fraudulent parties. This paper identifies and addresses such challenges through the realistic design of a simulator, i.e., FraudSIM, enabling the generation of datasets enriched with regular and multiple fraudulent strategies-induced behaviors.

References

[1]

M. R. AlBougha. 2016. Comparing Data Mining Classification Algorithms in Detection of Simbox Fraud. Master's thesis. St. Cloud State University.

Google Scholar

[2]

Communications Fraud Control Association. 2021. Fraud Loss Survey. Technical Report. https://cfca.org/wp-content/uploads/2021/12/CFCA-Fraud-Loss-Survey-2021-2.pdf

Google Scholar

[3]

F. Ekman, A. Keränen, J. Karvo, and J. Ott. 2008. Working Day Movement Model. In Proceedings of ACM SIGMOBILE Mobility Models Workshop.

Google Scholar

[4]

A. J. Kouam, A. C. Viana, and A. Tchana. 2021. SIMBox Bypass Frauds in Cellular Networks: Strategies, Evolution, Detection, and Future Directions. IEEE Communications Surveys & Tutorials 23, 4 (2021), 2295--2323.

Crossref

Google Scholar

[5]

Yves-Alexandre Montjoye, Cesar Hidalgo, Michel Verleysen, and Vincent Blondel. 2013. Unique in the Crowd: The Privacy Bounds of Human Mobility. Scientific reports 3 (03 2013), 1376.

Crossref

Google Scholar

[6]

R. Sallehuddin, S. Ibrahim, A. Zain, and A. Elmi. 2015. Detecting SIM Box Fraud by Using Support Vector Machine and Artificial Neural Network. In Jurnal Teknologi.

Google Scholar

Index Terms

Simulating SIMBox frauds for detection investigation
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation support systems
      1. Simulation environments
2. Security and privacy
  1. Network security
    1. Mobile and wireless security

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Information & Contributors

Information

Published In

CoNEXT-SW '22: Proceedings of the 3rd International CoNEXT Student Workshop

December 2022

50 pages

ISBN:9781450399371

DOI:10.1145/3565477

Conference Chairs:
Narseo Vallina Rodriguez
IMDEA, Spain
,
Jon Crowcroft
University of Cambridge, UK

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 December 2022

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Extended-abstract

Conference

CoNEXT '22

Sponsor:

SIGCOMM

CoNEXT '22: The 18th International Conference on emerging Networking EXperiments and Technologies

December 9, 2022

Rome, Italy

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Index Terms

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Using Trusted Email to Prevent Credit Card Frauds in Multimedia Products

Direct Debit Frauds: A Novel Detection Approach

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