Enhancing Risk Management in Cloud Security Using Machine Learning: An Indian Enterprise Case Study
DOI:
https://doi.org/10.36676/irt.v8.i4.1504Keywords:
Cloud Security, Risk Management, Machine LearningAbstract
This paper explores the application of machine learning (ML) techniques in improving risk management for cloud security in Indian enterprises. As Indian companies migrate to cloud infrastructures, they face new security challenges. The study presents various ML models such as Decision Trees, Random Forest, and Support Vector Machines (SVM) applied to cloud security systems to mitigate risks like unauthorized access, data breaches, and Distributed Denial of Service (DDoS) attacks. Case studies from major Indian industries are analyzed to showcase the effectiveness of these models in real-time risk detection and mitigation. The paper also discusses challenges such as data privacy, scalability, and compliance with Indian cyber laws.
References
Vasa, Y., Mallreddy, S. R., & Jami, V. S. (2022). AUTOMATED MACHINE LEARNING FRAMEWORK USING LARGE LANGUAGE MODELS FOR FINANCIAL SECURITY IN CLOUD OBSERVABILITY. International Journal of Research and Analytical Reviews , 9(3), 183–190.
Vasa, Y., & Singirikonda, P. (2022). Proactive Cyber Threat Hunting With AI: Predictive And Preventive Strategies. International Journal of Computer Science and Mechatronics, 8(3), 30–36.
Vasa, Y., Cheemakurthi, S. K. M., & Kilaru, N. B. (2022). Deep Learning Models For Fraud Detection In Modernized Banking Systems Cloud Computing Paradigm. International Journal of Advances in Engineering and Management, 4(6), 2774–2783. https://doi.org/10.35629/5252-040627742783
Mallreddy, S. R., & Vasa, Y. (2022). Autonomous Systems In Software Engineering: Reducing Human Error In Continuous Deployment Through Robotics And AI. NVEO - Natural Volatiles & Essential Oils, 9(1), 13653–13660. https://doi.org/https://doi.org/10.53555/nveo.v11i01.5765
Vasa, Y., & Mallreddy, S. R. (2022). Biotechnological Approaches To Software Health: Applying Bioinformatics And Machine Learning To Predict And Mitigate System Failures. Natural Volatiles & Essential Oils, 9(1), 13645–13652. https://doi.org/https://doi.org/10.53555/nveo.v9i2.5764
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Innovative Research Thoughts
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
