Encrypted Malicious Traffic Identification Based on Hierarchical Spatiotemporal Feature and Multi-Head Attention

To implement the full encryption of Internet,the accurate detection of encrypted malicious traffic is required,but traditional detection methods rely heavily on expert experience and perform poorly in distiguishment of encrypted traffic feature is not strong the representation of encrypted traffic.T...

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Autor principal:	JIANG Tongtong, YIN Weixin, CAI Bing, ZHANG Kun
Format:	Artigo
Idioma:	Inglês
Publicat:	Editorial Office of Computer Engineering 2021-07-01
Col·lecció:	Jisuanji gongcheng
Matèries:	encrypted traffic identification|multi-head attention mechanism|malicious traffic identification|convolutional neural network(cnn)|long short-term memory(lstm) network
Accés en línia:	https://www.ecice06.com/fileup/1000-3428/PDF/20210714.pdf
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