A Dynamic Network-based Intrusion Detection Model for Industrial Control Systems
Author:
Affiliation:
1. Pontifical Catholic University of Paraná,Curitiba,Paraná,Brazil,80215-901
2. Technology Innovation Institute,Abu Dhabi,United Arab Emirates
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10538469/10538471/10538947.pdf?arnumber=10538947
Reference30 articles.
1. Toward a Reliable Evaluation of Machine Learning Schemes for Network-Based Intrusion Detection
2. A Host-based Intrusion Detection Model Based on OS Diversity for SCADA
3. Dos and don’ts of machine learning in computer security;Arp
4. Cybersecurity of Industrial Cyber-Physical Systems: A Review
5. SCADA vulnerabilities and attacks: A review of the state‐of‐the‐art and open issues
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1. Atualização Confiável dos Modelos de Detecção de Intrusão Baseada em Aprendizagem de Máquina;Anais do XXXVII Concurso de Teses e Dissertações (CTD 2024);2024-07-21
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