IP address spoofing is an adversarial strategy used by attackers to disguise their true location by sending IP packets from a false (or "spoofed") source address. This tactic poses significant threats to network security, leading to data breaches, denial of service attacks, and unauthorized access to sensitive information. Traditional detection methods often struggle to keep up with the evolving tactics of cybercriminals, making it crucial to adopt advanced techniques. Machine learning offers a robust solution for detecting IP address spoofing by analyzing patterns, identifying anomalies, and enhancing the overall security posture. This blog explores how machine learning can be applied to detect IP address spoofing effectively, with a focus on data mining techniques.