Machine Learning for Cloud-Based Privilege Escalation Attack Detection and Mitigation with CATBOOST

Authors

  • Mrs.B.Laxmi Kalpana, Chavalla deekshitha , Samreen Begum , Ch.Swetha

Keywords:

.

Abstract

The exponential growth in attack frequency and complexity in recent years has made cybersecuritya major concern due to the development of smart devices. Despite the revolutionary impact cloud computing has had on businesses, dispersed services such as security systems are hindered

References

U. A. Butt, R. Amin, H. Aldabbas, S. Mohan, B. Alouffi, and A. Ahmadian, ‘‘Cloud-based email phishing attack using machine and deep learning algorithm,’’ Complex Intell. Syst., pp. 1–28, Jun. 2022.

Downloads

Published

2024-01-02

How to Cite

Mrs.B.Laxmi Kalpana, Chavalla deekshitha , Samreen Begum , Ch.Swetha. (2024). Machine Learning for Cloud-Based Privilege Escalation Attack Detection and Mitigation with CATBOOST. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 845–855. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2694

Issue

Vol. 32 No. 1 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.