SecureDAD: Real-Time Intelligent IPv6 DAD Attack Detection & Mitigation
Abstract
SecureDAD is an advanced IPv6 network security system which may prevent spoofing attacks before they disrupt communication services. This paper detects malicious Neighbor Discovery behavior at an early stage by examining live packet traffic captured from networks. We used artificial intelligence instead of conventional monitoring methods which are often slow and inaccurate. We used two highly effective methods Random Forest and anomaly scoring to understand suspicious patterns in IPv6 packets and classify whether traffic is normal or malicious. The dashboard allows simple Web based use of the system. It also provides pictorial graphs to depict performance and outcomes. The technique will enable administrators to detect attacks promptly and with high assurance in low resource environments quickly today always safely for users everywhere.
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