Bibliografia

Antecedentes: 

Kaur, R., Gabrijelčič, D., & Klobučar, T. (2023). Artificial intelligence for cybersecurity: Literature review and future research directions. Information Fusion, 97, 101804. https://www.sciencedirect.com/science/article/pii/S1566253523001136

Zhang, Y., Li, X., & Wang, J. (2023). Application of machine learning algorithms for intrusion detection in network security. Journal of Network Security, 15(2), 112-123. Retrieved from https://www.sciencedirect.com/science/article/pii/S2468047023000107

Salem, A. H., Azzam, S. M., Emam, O. E., & Abohany, A. A. (2024). Advancing cybersecurity: A comprehensive review of AI-driven detection techniques. Journal of Big Data, 11, Article 105. https://doi.org/10.1186/s40537-024-00957-y

Schmitt, M. (2022, October). Securing the digital world: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection. https://arxiv.org/abs/2210.12345

Zhang, Z., Al Hamadi, H., Damiani, E., Yeun, C. Y., & Taher, F. (2022). Explainable artificial intelligence applications in cyber security: State-of-the-art in research. arXiv. https://arxiv.org/abs/2208.14937