Mitigating Automated Threats: An Analysis of AWS WAF Bot Control for Web Application Protection

Author(s)	Vivek Somi
Country	United States
Abstract	Web applications continue to be threatened by new levels of automated attacks, including credential stuffing, content scraping, and DDoS that harm revenue, data, and user experience. It is often disappointing since common mitigation approaches such as CAPTCHAs and rate limiting can fail to adequately handle the scripts, mostly with high false positive rates. AWSs Web Application Firewall Bot Control is explored in this paper as a cloud solution inherent to Cloud Front, ALB, API Gateway with Machine Learning as the basis of behavioral modeling and anomaly detection mechanisms. By adopting a comparative research approach using both qualitative and quantitative data, this paper shows that AWS WAF Bot isa better solution than the other solutions offered in the market. Furthermore, thanks to its high scalability, low latency, and cost advantages – this solution significantly outperforms others in improving web application protection without negatively affecting the speed. Therefore, the findings underscore the usefulness of AWS WAF Bot Control, in resisting automated threats, providing organizations with a powerful and flexible instrument crucial for preserving secure and reliable internet services.
Keywords	Web Application, Threats, WAF, Analytics, Ddos, Bots
Field	Engineering
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-11-07
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.37542
Short DOI	https://doi.org/g85sr6

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International Journal For Multidisciplinary Research