Anne Josiane Kouam

AI · Privacy · Mobile Network Security · Mobile Data · User Modeling · Data Science · Behavioral Analysis

josiane_pic.jpg

Inria Saclay, TRIBE team

1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau

anne-josiane.kouam@inria.fr

I am a researcher (starting researcher position) in the TRIBE team at Inria Saclay, working on the national PEPR MOBIDEC project. I am also a visiting researcher at TU Berlin, where I completed a postdoctoral fellowship in the Machine Learning and Security group led by Prof. Konrad Rieck.

I earned my PhD from Inria Saclay and École Polytechnique, under the supervision of Aline Carneiro Viana and Alain Tchana, and subsequently held a short postdoc at Inria. My research lies at the intersection of machine learning, security, and privacy, with a particular focus on user-centered analysis, attack and defense strategies, and data-driven methods in mobile communication systems.

During my PhD, I conducted research internships at Telecom Paris (cellular signaling experiments in a Faraday cage) and at CNR Pisa (modeling and realistic generation of CDR/XDR data). I hold a degree in computer engineering (2019) from École Polytechnique of Yaoundé, Cameroon.

Research interests: Mobile network security & privacy, AI for communication systems, user modeling, attack detection & prevention.

More detailed information: My CV (last updated on June 2025)

Latest news

Jun 2025 We are thrilled to launch the NetMob 2025 Data Challenge! Explore the newly released dataset and join the community in tackling exciting mobility and privacy research questions. Reference paper on the dataset (arXiv:2506.05903)
Apr 2025 Our paper “SigN: SIMBox Activity Detection Through Latency Anomalies at the Cellular Edge” is accepted to AsiaCCS 2025.
Apr 2025 Honored to serve on the TPC of TMA 2025.
Mar 2025 Our paper “The Silent Signature: Behavior-based User Exposure in Mobility Data” is accepted to MDM 2025. Congrats to Lucas Felix for leading this exciting work!
Feb 2025 Presented our latest research on traffic–mobility dependencies at the STIC-AmSud LINT Workshop in Buenos Aires. Grateful for the continued collaboration with Latin American partners.

Click here for past news

Selected publications

  1. AsiaCCS
    SigN: SIMBox Activity Detection Through Latency Anomalies at the Cellular Edge
    Anne Josiane Kouam, Aline Carneiro Viana, Philippe Martins, and 2 more authors
    Jan 2025
    working paper or preprint
  2. AsiaCCS
    Battle of Wits: To What Extent Can Fraudsters Disguise Their Tracks in International bypass Fraud?
    Anne Josiane Kouam, Aline Carneiro Viana, and Alain Tchana
    In ACM ASIACCS 2024 - 19th ACM Asia Conference on Computer and Communications Security, Jul 2024
  3. COMST
    SIMBox bypass frauds in cellular networks: Strategies, evolution, detection, and future directions
    Anne Josiane Kouam, Aline Carneiro Viana, and Alain Tchana
    Communications Surveys and Tutorials, IEEE Communications Society, Jul 2021