This research evaluates a lightweight web application under simulated Denial-of-Service (DoS) conditions. The study uses Kali Linux, OWASP Juice Shop, Bash scripting, and Wireshark to generate, monitor, and analyze high-volume HTTP traffic. The objective is to understand how repeated requests affect web application behavior and network communication. The experiment uses configurable concurrency and request counts to create controlled traffic loads. Packet analysis is performed using Wireshark to validate request transmission and study traffic patterns. The findings provide insight into server stress testing, traffic analysis, and cybersecurity awareness.This research evaluates a lightweight web application under simulated Denial-of Service (DoS) conditions. The study uses Kali Linux, OWASP Juice Shop, Bash scripting, and Wireshark to generate, monitor, and analyze high-volume HTTP traffic. The objective is to understand how repeated requests affect web application behavior and network communication. The experiment uses configurable concurrency and request counts to create controlled traffic loads. Packet analysis is performed using Wireshark to validate request transmission and study traffic patterns. The findings provide insight into server stress testing, traffic analysis, and cybersecurity awareness.This research evaluates a lightweight web application under simulated Denial-of-Service (DoS) conditions. The study uses Kali Linux, OWASP Juice Shop, Bash scripting, and Wireshark to generate, monitor, and analyze high-volume HTTP traffic. The objective is to understand how repeated requests affect web application behavior and network communication. The experiment uses configurable concurrency and request counts to create controlled traffic loads. Packet analysis is performed using Wireshark to validate request transmission and study traffic patterns. The findings provide insight into server stress testing, traffic analysis, and cybersecurity awareness.
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Thomas et al. (2026) studied this question.
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