List of Contributions

Through my research, I have developed and solved sophisticated game-theoretic models addressing cyber deception in network security, significantly advancing the field with algorithms that facilitate optimal epidemic control and enhance cybersecurity strategies. My contributions include pioneering the use of Partially Observable Stochastic Games for network epidemic control, optimizing intrusion detection systems, and introducing a Bayesian game approach to address network centrality, recognized by an Honorable Mention Best Paper Award at GameSec 2022. These efforts have not only contributed to theoretical advancements but also provided practical frameworks for improving network security and cyber deception countermeasures.

Cyber Deception & Network Epidemics

Developed a Partially Observable Stochastic Game (POSG) for botnet defense, accounting for attacker stealth and misdirection.
Introduced a value-iteration algorithm adapted to epidemic peaks, presented at GameSec 2020 and published in Dynamic Games and Applications (2022).

Graph Centrality and Strategic Defense

Proposed a centrality game model combining game theory, graph theory, and epidemic modeling.
Recognized with Best Honorable Paper Mention, GameSec 2022.

AI Resource Allocation (PARFAIT Project)

Designed a model for dynamic request allocation to neural networks, under precision and capacity constraints.
Proposed a rational-function-based optimization solution with neural network generalization.

Scalable Decision Models (RAMONaaS Project)

Developed scalable solutions for large MDPs, using state aggregation and online refinement techniques.
Presented at ROADEF 2024.

Collaborative Cybersecurity & Risk Sharing

Modeled continuous-time differential games for multi-actor cybersecurity investments.
Proposed a framework for privacy-preserving collaboration between organizations.

Journal Papers

Conference Papers

Partially observable stochastic games for cyber deception against network epidemic. GameSec 2020.
Optimizing intrusion detection systems placement against network virus spreading using a partially observable stochastic minimum-threat path game. GameSec 2022.
A network centrality game for epidemic control. GameSec 2022, Best Paper Honorable Mention.
Asymmetric centrality game against network epidemic propagation. GameSec 2023.
Shapley value to rank vulnerabilities on attack graphs : Applications to cyberdeception. GameSec 2023, poster.
Scalable Solutions for Markov Decision Processes with Weighted State Aggregation. Workshop of the ROADEF 2024.
Radio Resource Allocation in 5G/B5G Networks: A Dimension Reduction Approach using Markov Decision Processes. NETGCOOP 2024.

My doctoral thesis: Game Theory for Cyber Deception against Network SIR Epidemics. Avignon. 2022

I now aim to transfer this experience into long-term contributions within a university or research center.

View Research Experience