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@article{204996,
        author = {S Vigneshwaran and Dr.S.Latha},
        title = {An Advanced Traffic Analysis System for Detecting Web-Based Distributed Denial of Service Attacks},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {4662-4664},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204996},
        abstract = {With the rapid growth of internet-based services, websites and web applications have become prime targets for cyberattacks such as Denial of Service (DoS) and Distributed Denial of Service (DDoS). These attacks can severely impact service availability, performance, and user trust. To address this challenge, this project presents a web-based DoS/DDoS Detection and IP Reputation Analysis System developed using modern web and cybersecurity technologies.
The system is built using Python and Django as the backend framework, with HTML, CSS, Bootstrap, and JavaScript used for creating an interactive and responsive frontend interface. The application follows a modular architecture and includes User and Admin modules to ensure secure access control and effective system management.
Overall, this project serves as an effective cybersecurity monitoring and learning tool, combining traffic analysis, DoS/DDoS detection, IP reputation checking, and data visualization. It is suitable for academic, research, and small-scale real-world security monitoring applications, demonstrating practical implementation of network security concepts using modern web technologies.},
        keywords = {Behavioral Analysis, DDoS Detection, IP Reputation, Threat Intelligence, Traffic Analysis.},
        month = {June},
        }