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This study explores methods for detecting and mitigating DDoS attacks by analyzing traffic flow patterns. It begins with an introduction to DDoS attacks, detailing their impact and significance in network security. The paper presents a solution leveraging flow entries for pattern detection, comparing simulations across normal, unsecured, and secure networks. Results demonstrate the effectiveness of the proposed approach in identifying and mitigating threats, contributing to enhanced network resilience. The conclusion underscores the importance of proactive security measures in modern network management.
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