A Two-Stage Anomaly Detection Method Based on User Preference Features and the Deep Fusion Model

Rapid and accurate anomaly traffic detection is one of the most important research problems in cyberspace situational awareness. In order to improve the accuracy and efficiency of the detection, a two-stage anomaly detection method based on user preference features and a deep fusion model is propose...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Applied Sciences
المؤلفون الرئيسيون: Sen-Lei Zhang, Bin Zhang, Yi-Tao Zhou, Yue-Xuan Guo, Jing-Lei Tan
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2023-05-01
الموضوعات:
two-stage detection
user preference features
deep fusion model
cyberspace situation awareness
الوصول للمادة أونلاين:https://www.mdpi.com/2076-3417/13/10/6217

الانترنت

https://www.mdpi.com/2076-3417/13/10/6217

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