Page
%P
![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Malicious encrypted traffic features extraction model based on unsupervised feature adaptive learning
As network traffic is increasingly valued for privacy protection and the encrypted SSL/TLS (Secure Sockets Layer/Transport Layer Security) traffic is surging, more and more malicious behaviors are hidden in it...