Christopher Neal

Institut de Recherche Technologique SystemX — France

Computer Science · Physical Sciences

5h-index91citations21works2.02yr avg
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Research Topics

Network Security and Intrusion Detection(11), Information and Cyber Security(9), Advanced Malware Detection Techniques(9), Smart Grid Security and Resilience(4), Semantic Web and Ontologies(2)

Publications21 total

A real-time automated attack-defense graph generation approach
Journal of Information Security and Applications·2025Open Access
Semantic and Graph-Based Unsupervised Learning for Insider Threat Detection Using User Activity Sequences
2025· 1 cited
Federated Intrusion Detection System Based on Unsupervised Machine Learning
arXiv (Cornell University)·2025Open Access
Classifying Insider Threat Scenarios Through Explainable Articial Intelligence
Lecture notes in computer science·2025· 1 cited
Matching Knowledge Graphs for Cybersecurity Countermeasures Selection
Lecture notes in computer science·2025
Attack-Defense Graph Generation: Instantiating Incident Response Actions on Attack Graphs
2024· 1 cited
NLP and Neural Networks for Insider Threat Detection
2024· 5 cited
From Traits to Threats: Learning Risk Indicators of Malicious Insider Using Psychometric Data
Lecture notes in computer science·2024· 2 cited
Adversarial robustness of deep reinforcement learning-based intrusion detection
International Journal of Information Security·2024· 12 cited
How to Better Fit Reinforcement Learning for Pentesting: A New Hierarchical Approach
Lecture notes in computer science·2024· 1 cited
Unsupervised Clustering of Honeypot Attacks by Deep HTTP Packet Inspection
Lecture notes in computer science·2024
Automated Attacker Behaviour Classification Using Threat Intelligence Insights
Lecture notes in computer science·2024
Optimal Automated Generation of Playbooks
Lecture notes in computer science·2024· 3 citedOpen Access
Real-Time Defensive Strategy Selection via Deep Reinforcement Learning
2023· 3 cited
Evading Deep Reinforcement Learning-based Network Intrusion Detection with Adversarial Attacks
Proceedings of the 17th International Conference on Availability, Reliability and Security·2022· 6 citedOpen Access
Attacker Attribution via Characteristics Inference Using Honeypot Data
Lecture notes in computer science·2022· 1 cited
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm
2021· 1 citedOpen Access
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)·2021· 13 cited
Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input
2020
LODNav – An Interactive Visualization of the Linking Open Data Cloud
Spectrum Research Repository (Concordia University)·2014Open Access
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Frequent Co-authors

Nora Cuppens(14), Frédéric Cuppens(13), Reda Yaich(4), Kéren Saint-Hilaire(4), Andrea Lodi(3), José M. Fernandez(3), Neda Baghalizadeh-Moghadam(3), Makhlouf Hadji(3), Frédéric Cuppens(3), Hanane Dagdougui(2), Mohamed Amine Merzouk(2), Joséphine Delas(2), Nora Cuppens-Boulahia(2), Francesca Bassi(2), Pierre Crochelet(2), Alexandre Proulx(2), Iman Keivanloo(1), Christopher Forbes(1), Aseel Hmood(1), Mostafa Erfani(1)