Applying Reinforcement Learning for Enhanced Cybersecurity against Adversarial Simulation

Cybersecurity is a growing concern in today’s interconnected world. Traditional cybersecurity approaches, such as signature-based detection and rule-based firewalls, are often limited in their ability to effectively respond to evolving and sophisticated cyber threats. Reinforcement learning (RL) has...

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Detalles Bibliográficos
Autores principales: Oh, Sang Ho, Jeong, Min Ki, Kim, Hyung Chan, Park, Jongyoul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051329/
https://www.ncbi.nlm.nih.gov/pubmed/36991711
http://dx.doi.org/10.3390/s23063000

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051329/
https://www.ncbi.nlm.nih.gov/pubmed/36991711
http://dx.doi.org/10.3390/s23063000

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