Enhancing Cloud Security by Integrating Data Masking Techniques with AWS for Effective DDoS Prevention

Authors

  • Sachin Popat Patil, Mustafa Basthikodi, Kumaraswamy S., Ananth Prabhu Gurpur, Akashraj Raga

Keywords:

Cloud security, DDoS prevention, Data masking, AWS, Threat detection

Abstract

Cloud computing has transformed how organizations store, process, and manage data, yet it introduces specific security challenges, especially in protecting against Distributed Denial of Service (DDoS) attacks. This paper proposes an integrated approach to enhance cloud security by combining data masking techniques with Amazon Web Services (AWS) for DDoS prevention. Through comprehensive experimentation and performance evaluation, we demonstrate the efficacy of data masking in protecting sensitive information while AWS DDoS prevention mechanisms effectively detect and mitigate attacks, ensuring the availability and integrity of online services. The integration of these techniques offers a holistic solution to cybersecurity, addressing both data protection and infrastructure resilience. Our findings address the importance of proactive defense strategies in mitigating the risk of DDoS attacks and highlight the potential implications for the industry in strengthening cloud security posture.

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Published

09.07.2024

How to Cite

Sachin Popat Patil. (2024). Enhancing Cloud Security by Integrating Data Masking Techniques with AWS for Effective DDoS Prevention. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 748 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6551

Issue

Vol. 12 No. 22s (2024)

Section

Research Article

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