FPGA Acceleration of CNNs-Based Malware Traffic Classification

FPGA Acceleration of CNNs-Based Malware Traffic Classification

With the rapid development of the Internet, malware traffic is seriously endangering the security of cyberspace. Convolutional neural networks (CNNs)-based malware traffic classification can automatically learn features from raw traffic, avoiding the inaccuracy of hand-design traffic features. Throu...

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Bibliographic Details
Main Authors: Lin Zhang, Bing Li, Yong Liu, Xia Zhao, Yazhou Wang, Jiaxin Wu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Electronics
Subjects:
malware traffic
CNNs
FPGA acceleration
reconfigurability
Online Access:https://www.mdpi.com/2079-9292/9/10/1631

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