Blockchain and AI Integration for Enhancing Cloud Security in Indian Enterprises
DOI:
https://doi.org/10.36676/irt.v8.i4.1510Abstract
This paper investigates the integration of Blockchain technology and Artificial Intelligence (AI) to enhance cloud security in Indian enterprises. The study explores how Blockchain’s decentralized nature can secure cloud infrastructures, while AI models such as anomaly detection and reinforcement learning provide real-time threat monitoring and mitigation. By analyzing case studies from Indian companies in sectors like IT, finance, and healthcare, the paper showcases the practical benefits of combining Blockchain with AI for enhancing data security, reducing vulnerabilities, and improving regulatory compliance.
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) 2022 Innovative Research Thoughts
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
