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2020 – today
- 2025
[i3]Maxime Gourceyraud, Rim Ben Salem, Christopher Neal, Frédéric Cuppens, Nora Boulahia-Cuppens:
Federated Intrusion Detection System Based on Unsupervised Machine Learning. CoRR abs/2503.22065 (2025)- 2024
- [j1]Mohamed Amine Merzouk
, Christopher Neal, Joséphine Delas, Reda Yaich, Nora Boulahia-Cuppens, Frédéric Cuppens:
Adversarial robustness of deep reinforcement learning-based intrusion detection. Int. J. Inf. Sec. 23(6): 3625-3651 (2024) - [c17]Rémi Grzeczkowicz, Christopher Neal, Neda Baghalizadeh-Moghadam, Nora Boulahia-Cuppens, Frédéric Cuppens:
Classifying Insider Threat Scenarios Through Explainable Articial Intelligence. CRiSIS 2024: 157-172 - [c16]Kéren Saint-Hilaire, Christopher Neal, Frédéric Cuppens, Nora Boulahia-Cuppens, Makhlouf Hadji:
Optimal Automated Generation of Playbooks. DBSec 2024: 191-199 - [c15]Marc-Antoine Faillon, Baptiste Bout, Julien Francq, Christopher Neal, Nora Boulahia-Cuppens, Frédéric Cuppens, Reda Yaich:
How to Better Fit Reinforcement Learning for Pentesting: A New Hierarchical Approach. ESORICS (4) 2024: 313-332 - [c14]N'Famoussa Kounon Nanamou, Christopher Neal, Nora Boulahia-Cuppens, Frédéric Cuppens, Anis Bkakria:
From Traits to Threats: Learning Risk Indicators of Malicious Insider Using Psychometric Data. ICISS 2024: 180-200 - [c13]Kéren Saint-Hilaire, Christopher Neal, Frédéric Cuppens, Nora Boulahia-Cuppens, Makhlouf Hadji:
Matching Knowledge Graphs for Cybersecurity Countermeasures Selection. SciSec 2024: 118-137 - [c12]Kéren Saint-Hilaire, Christopher Neal, Frédéric Cuppens, Nora Boulahia-Cuppens, Francesca Bassi:
Attack-Defense Graph Generation: Instantiating Incident Response Actions on Attack Graphs. TrustCom 2024: 295-305 - [c11]Neda Baghalizadeh-Moghadam, Christopher Neal, Frédéric Cuppens, Nora Boulahia-Cuppens:
NLP and Neural Networks for Insider Threat Detection. TrustCom 2024: 2010-2018 - 2023
- [c10]Axel Charpentier, Christopher Neal, Nora Boulahia-Cuppens, Frédéric Cuppens, Reda Yaich:
Real-Time Defensive Strategy Selection via Deep Reinforcement Learning. ARES 2023: 15:1-15:11 - [c9]Victor Aurora, Christopher Neal, Alexandre Proulx, Nora Boulahia-Cuppens, Frédéric Cuppens:
Unsupervised Clustering of Honeypot Attacks by Deep HTTP Packet Inspection. FPS (1) 2023: 53-68 - [c8]Pierre Crochelet, Christopher Neal, Nora Boulahia-Cuppens, Frédéric Cuppens, Alexandre Proulx:
Automated Attacker Behaviour Classification Using Threat Intelligence Insights. FPS (1) 2023: 285-301 - 2022
- [c7]Mohamed Amine Merzouk, Joséphine Delas, Christopher Neal, Frédéric Cuppens, Nora Boulahia-Cuppens, Reda Yaich:
Evading Deep Reinforcement Learning-based Network Intrusion Detection with Adversarial Attacks. ARES 2022: 31:1-31:6 - [c6]Pierre Crochelet, Christopher Neal, Nora Boulahia-Cuppens, Frédéric Cuppens:
Attacker Attribution via Characteristics Inference Using Honeypot Data. NSS 2022: 155-169 - [i2]Christopher Neal, Jean-Yves De Miceli, David Barrera, José Fernandez:
Ontology-Based Anomaly Detection for Air Traffic Control Systems. CoRR abs/2207.00637 (2022) - 2021
- [c5]Christopher Neal, Hanane Dagdougui, Andrea Lodi, José M. Fernandez:
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm. CCWC 2021: 38-44 - 2020
- [c4]Christopher Neal, Ranwa Al Mallah, José M. Fernandez, Andrea Lodi:
Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input. CCECE 2020: 1-6 - [i1]Christopher Neal, Hanane Dagdougui, Andrea Lodi, José M. Fernandez:
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm. CoRR abs/2008.13212 (2020)
2010 – 2019
- 2012
- [c3]Iman Keivanloo, Christopher Forbes, Aseel Hmood, Mostafa Erfani, Christopher Neal, George Peristerakis, Juergen Rilling:
A Linked Data platform for mining software repositories. MSR 2012: 32-35 - 2010
- [c2]Calin Anton, Christopher Neal:
Notes on Generating Satisfiable SAT Instances Using Random Subgraph Isomorphism. Canadian AI 2010: 315-318
2000 – 2009
- 2009
- [c1]Christopher Neal, Jonathan Mohr:
A Comparison of Biology-based Metaheuristics for Finding Piecewise Linear Approximations of Digitized Soundcurves. GEM 2009: 118-122
Coauthor Index
aka: Nora Boulahia-Cuppens
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last updated on 2025-05-08 22:25 CEST by the dblp team
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