Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{179074,
        author = {Omkar Gade and Shreeja Gundlur and Abhishek Wagavekar and Aditya Borawake and Rohidas Sangore},
        title = {SmartShield: Real-Time Intelligent DDoS Detection & Mitigation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6608-6611},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179074},
        abstract = {The SmartShield system is designed to
identify and mitigate DDoS attacks using real-time,
intelligent filtering and detection techniques while
monitoring network traffic. The configuration utilizes
three virtual machines, including Kali Linux as the
attacker, the victim running on an Ubuntu Server, and
the monitoring and response unit on an Ubuntu
Desktop. SmartShield also utilizes packet analysis with
Wireshark[11], intrusion detection with Snort, and
automated banning of malicious IPs via Fail2Ban[2]. A
simulated DDoS environment is created by traffic
HOIC or hping3, which is then sent over the network.
The system captures data packets, analyzes them for
anomalies using Snort[6], and mitigates the attacks
using fail2ban policies[2]. The practical
implementation of this architecture showcases a very
affordable hands-on approach to teaching real-time
network cybersecurity along with intrusion detection
and mitigation within controlled
environments[1][6][12].},
        keywords = {SmartShield, Wireshark, VirtualBox, DDoS Simulation, Snort, Fail2Ban, Network Security, Ubuntu Server, Intrusion Detection, Kali Linux.},
        month = {May},
        }