• Sonali Bharat Shirke
• Uruj Jaleel
• Sandeep Kadam
• Aparna Atul Junnarkar

Distributed denial of service assaults, often known as DDoS attacks, continue to pose a significant risk to the reliability and safety of websites and other online platforms. An technique that utilizes CAPTCHA-based Turing tests and cache-based monitoring systems is proposed in this research as a multi-faceted method for identifying and combating distributed denial of service assaults (DDoS). The framework provides the early identification of harmful activity by classifying network traffic into blacklist, pinklist, and whitelist categories. This configuration enables the framework to take prompt action against sources that are deemed to be suspicious. According to the findings of the simulation, the use of this framework results in increased throughput, a higher packet delivery ratio, and a reduction in both packet loss and latency. With the use of sophisticated detecting modules and algorithms, the purpose of this study is to develop a system that is both scalable and effective in reducing the damage that is caused by distributed denial of service assaults.

"Combating Ddos Attacks with Turing Tests: A Framework for Enhanced Network Security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.d762-d769, December-2024, Available :http://www.jetir.org/papers/JETIR2412391.pdf

"Combating Ddos Attacks with Turing Tests: A Framework for Enhanced Network Security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppd762-d769, December-2024, Available at : http://www.jetir.org/papers/JETIR2412391.pdf