A Continual Learning Process to Detect Both Previously Learned and Newly Emerging Attack

With the recent intensification of geopolitical tensions, cyber-attacks have become increasingly sophisticated and dynamic. Traditional machine learning-based anomaly detection techniques, which rely on pre-trained data, often suffer from performance degradation when exposed to novel attack types no...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Applied Sciences
المؤلفون الرئيسيون:	Hansol Park, Taesu Kim, Hanhee Lee, Dongil Shin, Dongkyoo Shin, Moosung Park
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2025-09-01
الموضوعات:	continual learning anomaly detection catastrophic forgetting machine learning
الوصول للمادة أونلاين:	https://www.mdpi.com/2076-3417/15/18/10034