Deep Learning Approaches for Threat Detection in Multi-Cloud Environments

Rohit Gorle

Deep Learning Approaches for Threat Detection in Multi-Cloud Environments

Authors

Rohit Gorle

Keywords:

Multi-Cloud Computing, Malware Detection, Deep Learning, Cloud Security, Threat Detection, Cybersecurity, Automated Detection, Security Analytics, Multi-Cloud Infrastructure, Malware Analysis.

Abstract

Multi-cloud computing has gained prominence asa popular IT architecture in recent years. Organizations use different cloud services provided by multiple companies tooptimize operations. However, using multiple suppliers as aservice increases security risks, which are opening

References

[1] Ahmad, Z., Khan, A. S., Shiang, C. W., Abdullah, J., & Ahmad, F. (2023). Network intrusion detection system: A systematic study of machine learning and deep learning approaches. Trans

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Published

2024-07-20

How to Cite

Rohit Gorle. (2024). Deep Learning Approaches for Threat Detection in Multi-Cloud Environments. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 3857–3864. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5879