Smart Detection and Prevention of Cloud Based Security Threats Using Machine Learning

Parumanchala Bhaskar, Somisetty Akhil, R. S. Venkhatesh, Shaik Sajid, M. Prem Kumar, S. Mansoor Basha

2025

Abstract

This task utilizes advanced machine learning to enhance cloud protection, specifically addressing and mitigating privilege escalation attacks for a greater resilient protection mechanism. With the growth in cloud adoption, the threat of privilege escalation attacks also escalates. This assignment goals holes in employee get admission to privileges in cloud services to improve usual protection. The task makes use of machine learning to facilitate actual-time identification and prevention of privilege escalation attacks. Strategies like as LightGBM, Random forest, Adaboost, and Xgboost provide a sturdy protection in opposition to rising threats. Individuals and establishments come upon stronger records protection, cultivating self-assurance in cloud computing. Cloud service vendors and corporations accumulate guarantee in a comfortable online ecosystem, reaping the advantages of the task's security upgrades. A vote casting Classifier, integrating predictions from decision Tree, Random forest, and support Vector machine through a "tender" vote casting method, improves the system's efficacy in figuring out and countering privilege escalation attacks. A person-friendly Flask framework with SQLite integration enhances user trying out by way of offering secure signup and signin functionalities for realistic installation and evaluation.

Paper Citation

in Bibtex Style

@conference{icrdicct`2525,
author={Parumanchala Bhaskar and Somisetty Akhil and R. Venkhatesh and Shaik Sajid and M. Kumar and S. Basha},
title={Smart Detection and Prevention of Cloud Based Security Threats Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={696-704},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013871500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Smart Detection and Prevention of Cloud Based Security Threats Using Machine Learning
SN - 978-989-758-777-1
AU - Bhaskar P.
AU - Akhil S.
AU - Venkhatesh R.
AU - Sajid S.
AU - Kumar M.
AU - Basha S.
PY - 2025
SP - 696
EP - 704
DO - 10.5220/0013871500004919
PB - SciTePress

in Harvard Style

Bhaskar P., Akhil S., Venkhatesh R., Sajid S., Kumar M. and Basha S. (2025). Smart Detection and Prevention of Cloud Based Security Threats Using Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 696-704. DOI: 10.5220/0013871500004919