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IoT Malware Network Traffic Classification using Visual Representation
  and Deep Learning

IoT Malware Network Traffic Classification using Visual Representation and Deep Learning

4 October 2020
G. Bendiab
S. Shiaeles
Abdulrahman Alruban
N. Kolokotronis
ArXivPDFHTML

Papers citing "IoT Malware Network Traffic Classification using Visual Representation and Deep Learning"

6 / 6 papers shown
Title
Malware Squid: A Novel IoT Malware Traffic Analysis Framework using
  Convolutional Neural Network and Binary Visualisation
Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation
Robert Shire
S. Shiaeles
Keltoum Bendiab
Bogdan Ghita
N. Kolokotronis
9
28
0
08 Sep 2021
A Novel Malware Detection System Based On Machine Learning and Binary
  Visualization
A Novel Malware Detection System Based On Machine Learning and Binary Visualization
I. Baptista
S. Shiaeles
N. Kolokotronis
18
40
0
01 Apr 2019
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
283
10,149
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
118
2,515
0
03 Jun 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
362
16,962
0
20 Dec 2013
1