Securing Network using DDOS Attack Prevention and Analysis

With the expanding dissemination of Distributed Denial of Service (DDoS) attacks, network security has become a critical concern for organizations and individuals. This paper presents an automated approach to detect, analyze, and alleviate DDoS attacks in real-time network traffic monitoring. The proposed system, implemented using Flask and Scapy, identifies suspicious IP addresses, detects high packet transmission rates indicative of DoS attacks, and dynamically blocks malicious sources through firewall rules. Additionally, it incorporates an email alert mechanism to notify administrators of potential threats. The system operates in a multi-threaded environment to ensure continuous monitoring without blocking execution. This research highlights the effectiveness of real-time network traffic analysis in proactively mitigating DDoS attacks and securing network infrastructure. Experimental results demonstrate the system's capability to detect malicious traffic and respond promptly to threats, minimizing network downtime and improving overall security.