IP SafeGuard–An AI-Driven Malicious IP Detection Framework

<table><tr><td><p dir="ltr">The rising frequency and sophistication of cyberattacks have made real-time malicious IP detection a critical challenge for modern Security Operations Center (SOC). Traditional solutions, such as static blacklists and manual IP reputation...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Abdullah Al Siam (22502732) (author)
مؤلفون آخرون:	Moutaz Alazab (17730060) (author), Albara Awajan (20083410) (author), Md Rakibul Hasan (15236749) (author), Areej Obeidat (22502735) (author), Nuruzzaman Faruqui (19748945) (author)
منشور في:	2025
الموضوعات:	Information and computing sciences Artificial intelligence Cybersecurity and privacy Data management and data science Machine learning Cyber security cyber attack IP address artificial intelligence threat intelligence SOC cyber defense Threat assessment Accuracy Feature extraction Computer security Silicon Scalability Computer viruses Blocklists Real-time systems
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IP SafeGuard–An AI-Driven Malicious IP Detection Framework

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