Classifying Malware Traffic Using Images and Deep Convolutional Neural Network
Author:
Affiliation:
1. Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA
Funder
ONR
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10504811.pdf?arnumber=10504811
Reference37 articles.
1. Malware traffic classification using convolutional neural network for representation learning
2. Image-based Neural Network Models for Malware Traffic Classification using PCAP to Picture Conversion
3. A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection
4. MedBIoT: Generation of an IoT botnet dataset in a medium-sized IoT network;Guerra-Manzanares
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