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@article{177778,
        author = {Siddharth Bej and Venkat Deepak J and Ashish S and A Yuvaraja and Chitragar Rajesh and Dr. Nagaraja S R},
        title = {DDOS Protection System for Cloud: Architecture and Tool},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3104-3109},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177778},
        abstract = {Currently, the highly interconnected world is plagued by service interruptions, economic loss and reputational harm stemming from DDoS attacks targeted at cloud infrastructures. A surge in malicious traffic is often left unmonitored until the last minute, making ancient defense structures incapable of responding in time.
Achieving DDoS detection and traffic monitoring is built around a DDoS attack recognition algorithm which focuses on a crucial range of traffic metrics such as Network In, Packets In and CPU Utilization and other parameters. Other than real-time monitoring, this system utilizes features Preemptively watching over systems and using customized Python scripts and Apache JMeter to simulate DDoS attacks ensures verification of detection capabilities.
As well as including detection/APT, this project has response tactics activated. In the aftermath of detection, automation scripts will be developed in Python to thwart the IPs perpetrating DDoS attacks which will impede subsequent multiple entrances into the system that are attempted. Rate limiting algorithms will also be added to assist in traffic spiking control and increased mitigation towards automatically block IP Addresses on the infrastructure.},
        keywords = {},
        month = {May},
        }