FraudZen Hackathon

Advancing Mobile Network Security, Privacy, and Fraud Detection

About the FraudZen Hackathon

Join us for an innovative hackathon focused on enhancing mobile network security and privacy protection.
Participants will work with advanced tools, FraudZen and En-WDM, to tackle real-world challenges.

Mobile Network Architecture and Knowledge Extraction

Exploring network architecture and data dynamics to enhance mobility and traffic simulations.

Objectives:

Privacy Protection through Anonymization

Applying techniques to protect user identities in network data.

Objectives:

Offensive Security

Simulating fraud tactics to understand and combat SIMBox fraud.

Objectives:

Defensive Security

Developing advanced AI-based techniques for detecting SIMBox fraud.

Objectives:

Register for the Hackathon

Register now to participate in the FraudZen Hackathon! Fill in your details to secure your spot.

Register Here

Event Details

Event Venue

Département d'Informatique - Université de Yaoundé I

Located at Decanat Faculté des Sciences, Yaoundé, Cameroon.

Event Schedule

Resources

Access the slides and other materials for the event below:

Project Report Template

Here you can find information about the LaTeX template. We decided to use the ACM "sigconf" proceedings template.

You will find information about the template, a user guide, and a list of approved LaTeX packages, needed fonts here: ACM Proceedings Template Information

This is the download link to the current template version: Download the Current Template Version

Another possibility for you is to use Overleaf online: ACM Large 2-Column Format Template on Overleaf

Please add the following conference to your LaTeX Template:

\documentclass[sigconf]{acmart}
\acmConference[FraudZen'25]{FraudZen Hackathon}{February 25, 2025}{Yaoundé, Cameroon}
\setcopyright{cc}
\setcctype[4.0]{by-sa}
\acmDOI{}
\acmISBN{}
            

Please also add keywords to your paper: ACM Computing Classification System (CCS)

Hackathon Winners!

We are excited to announce the winning team of the hackathon along with their innovative projects:

Organizers Information

Contact: Anne Josiane Kouam - Email: kouam.djuigne@tu-berlin.de

Contact: Hippolyte Tapamo - Email: htapamo@gmail.com

Our Sponsors

Berlin University Alliance MLSec Research group Machine Learning Network Systems Security