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...

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
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

مواد مشابهة