IP SafeGuard–An AI-Driven Malicious IP Detection Framework

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...

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Bibliographic Details
Main Author: Abdullah Al Siam (22502732) (author)
Other Authors: Moutaz Alazab (17730060) (author), Albara Awajan (20083410) (author), Md Rakibul Hasan (15236749) (author), Areej Obeidat (22502735) (author), Nuruzzaman Faruqui (19748945) (author)
Published: 2025
Subjects:
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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