DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification

标题
DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification
作者
关键词
Darknet traffic, Convolutional neural network, Long short-term memory, Self-attention mechanism, Spatial-temporal features, Classification
出版物
COMPUTERS & SECURITY
Volume -, Issue -, Pages 102663
出版商
Elsevier BV
发表日期
2022-02-17
DOI
10.1016/j.cose.2022.102663

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started