Assessing the Impact of Malicious Bots on Cloud Web Applications

Authors

  • Vijay Raj ,Dr. Subramanya Bhat

Keywords:

Malicious Bots, Cloud Web Applications, Security, Mitigation Strategies., Vulnerabilities,

Abstract

Malicious bots pose a significant threat to cloud web applications.They can overwhelm servers with traffic,leading to denial-of-service attacks that disrupt legitimate user access and cause revenue loss.These bots actively scrape sensitive data like customer information and intellectual property,giving competitors an unfair advantage and jeopardizing user privacy.

References

Jabeen, G., Rahim, S., Afzal, W., Khan, D., Khan, A. A., Hussain, Z., & Bibi, T. (2022). Machine learning techniques for software vulnerability prediction: a comparative study. Applied Intelligence, 52(15), 17614-17635.Google Scholar

Subramanian, E. K., & Tamilselvan, L. (2019). A focus on future cloud: machine learning-based cloud security. Service Oriented Computing and Applications, 13(3), 237-249. Google Scholar

Chen, H., & Babar, M. A. (2024). Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges. ACM Computing Surveys, 56(6), 1-38. Google Scholar

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Published

2023-08-27

How to Cite

Vijay Raj ,Dr. Subramanya Bhat. (2023). Assessing the Impact of Malicious Bots on Cloud Web Applications . Journal of Computational Analysis and Applications (JoCAAA), 33(2), 972–982. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1761

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