An efficient and robust deep learning based network anomaly detection against distributed denial of service attacks
作者： Ömer KASIM
DOI: 10.1016/J.COMNET.2020.107390
关键词: Feature learning 、 Data mining 、 Autoencoder 、 Anomaly detection 、 Computer science 、 Deep learning 、 Denial-of-service attack 、 False positive rate 、 Support vector machine 、 Feature extraction 、 Artificial intelligence 、 Computer Networks and Communications
摘要: … The novelty of the study is that AE-SVM trained with CICIDS successfully captures virtually generated DDOS traffic data. Despite the unbalanced data set, 99.1% test success was …
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