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Author

Christopher Neal

ORCID: 0000-0002-6953-8728
Observed ORCID: 0000-0002-6953-8728
OpenAlex ID: A5000132048
A linked data platform for mining software repositories
2012 · Iman Keivanloo, Christopher Forbes, et al. · Mining Software Repositories · 41
Adversarial robustness of deep reinforcement learning-based intrusion detection
2024 · Mohamed Amine Merzouk, Christopher Neal, et al. · International Journal of Information Security · 28
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm
2021 · Christopher Neal, Hanane Dagdougui, et al. · IEEE Annual Computing and Communication Workshop and Conference (CCWC) · 17
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Evading Deep Reinforcement Learning-based Network Intrusion Detection with Adversarial Attacks
2022 · Mohamed Amine Merzouk, Joséphine Delas, et al. · International Conference on Availability, Reliability and Security (ARES) · 11
A real-time automated attack-defense graph generation approach
2025 · Kéren A. Saint-Hilaire, Christopher Neal, et al. · Journal of Information Security and Applications · 7
NLP and Neural Networks for Insider Threat Detection
2024 · Neda Baghalizadeh-Moghadam, Christopher Neal, et al. · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · 7
Optimal Automated Generation of Playbooks
2024 · Kéren A. Saint-Hilaire, Christopher Neal, et al. · Lecture notes in computer science · 7
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Real-Time Defensive Strategy Selection via Deep Reinforcement Learning
2023 · Axel Charpentier, Christopher Neal, et al. · International Conference on Availability, Reliability and Security (ARES) · 6
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Classifying Insider Threat Scenarios Through Explainable Articial Intelligence
2025 · Rémi Grzeczkowicz, Christopher Neal, et al. · Lecture notes in computer science · 4
From Traits to Threats: Learning Risk Indicators of Malicious Insider Using Psychometric Data
2024 · N’Famoussa Kounon Nanamou, Christopher Neal, et al. · Lecture notes in computer science · 4
How to Better Fit Reinforcement Learning for Pentesting: A New Hierarchical Approach
2024 · Marc-Antoine Faillon, Baptiste Bout, et al. · Lecture notes in computer science · 4
Attack-Defense Graph Generation: Instantiating Incident Response Actions on Attack Graphs
2024 · Kéren A. Saint-Hilaire, Christopher Neal, et al. · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · 3
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Attacker Attribution via Characteristics Inference Using Honeypot Data
2022 · Pierre Crochelet, Christopher Neal, et al. · Lecture notes in computer science · 3
Federated Intrusion Detection System Based on Unsupervised Machine Learning
2026 · Maxime Gourceyraud, Rim Ben Salem, et al. · Lecture notes in computer science · 1
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Semantic and Graph-Based Unsupervised Learning for Insider Threat Detection Using User Activity Sequences
2025 · Neda Baghalizadeh-Moghadam, Christopher Neal, et al. · Conference on Privacy, Security and Trust · 1
Matching Knowledge Graphs for Cybersecurity Countermeasures Selection
2025 · Kéren A. Saint-Hilaire, Christopher Neal, et al. · Lecture notes in computer science · 1
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Automated Attacker Behaviour Classification Using Threat Intelligence Insights
2024 · Pierre Crochelet, Christopher Neal, et al. · Lecture notes in computer science
Unsupervised Clustering of Honeypot Attacks by Deep HTTP Packet Inspection
2024 · Victor Aurora, Christopher Neal, et al. · Lecture notes in computer science
Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input
2020 · Christopher Neal, Ranwa Al Mallah, et al. · Conference proceedings - Canadian Conference on Electrical and Computer Engineering
LODNav – An Interactive Visualization of the Linking Open Data Cloud
2014 · Christopher Neal · Spectrum Research Repository (Concordia University)
Works count: 20
Citation count: 145
H-index: 7
I10-index: 4
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