Cybersecurity with Data Science and Artificial Intelligence (Zero Trust Case)
The project is aimed at training an algorithm to identify behavior patterns in access logs requested by computers over the internet to web technology services, using a strategy to reduce cybersecurity risks through analysis and science of large volumes of “Fast Data” with the help of intelligent computational models “SLM & LLM” based on best practices “Zero Trust” and CI/CD Pipeline (MLops & DevSecOps).
Authors
- Mirna Muñoz (ORCID: https://orcid.org/0000-0001-8537-2695)
- Jezreel Mejía (ORCID: https://orcid.org/0000-0003-0292-9318)
- Oswaldo Díaz
Institutions
- National Institute of Statistics and Geography (MX)
- Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
Publication Details
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1109/cimps65195.2024.11095930
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00