Malware Squid: A Novel IoT Malware Traffic Analysis Framework Using Convolutional Neural Network and Binary Visualisation

Robert Shire; Stavros Shiaeles; Keltoum Bendiab; Bogdan Ghita; Nicholas Kolokotronis

doi:10.1007/978-3-030-30859-9_6

Malware Squid: A Novel IoT Malware Traffic Analysis Framework Using Convolutional Neural Network and Binary Visualisation

Robert Shire, Stavros Shiaeles^*, Keltoum Bendiab, Bogdan Ghita, Nicholas Kolokotronis

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

University of Peloponnese

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Internet of Things, Smart Spaces, and Next Generation Networks and Systems
Pages	65-76
Number of pages	0
Volume	0
DOIs	https://doi.org/10.1007/978-3-030-30859-9_6
Publication status	Published - 2019

Publication series

Name	Lecture Notes in Computer Science
Number	0
Volume	0

Keywords

4605 Data Management and Data Science
4606 Distributed Computing and Systems Software
46 Information and Computing Sciences
4604 Cybersecurity and Privacy

Access to Document

10.1007/978-3-030-30859-9_6

Embargoed Document

1910
1.18 MB
Embargo ends: 31/12/99

Cite this

Shire, R., Shiaeles, S., Bendiab, K., Ghita, B., & Kolokotronis, N. (2019). Malware Squid: A Novel IoT Malware Traffic Analysis Framework Using Convolutional Neural Network and Binary Visualisation. In Internet of Things, Smart Spaces, and Next Generation Networks and Systems (Vol. 0, pp. 65-76). (Lecture Notes in Computer Science; Vol. 0, No. 0). https://doi.org/10.1007/978-3-030-30859-9_6

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Shire, R, Shiaeles, S, Bendiab, K, Ghita, B & Kolokotronis, N 2019, Malware Squid: A Novel IoT Malware Traffic Analysis Framework Using Convolutional Neural Network and Binary Visualisation. in Internet of Things, Smart Spaces, and Next Generation Networks and Systems. vol. 0, Lecture Notes in Computer Science, no. 0, vol. 0, pp. 65-76. https://doi.org/10.1007/978-3-030-30859-9_6

Malware Squid: A Novel IoT Malware Traffic Analysis Framework Using Convolutional Neural Network and Binary Visualisation. / Shire, Robert; Shiaeles, Stavros; Bendiab, Keltoum et al.
Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Vol. 0 2019. p. 65-76 (Lecture Notes in Computer Science; Vol. 0, No. 0).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Malware Squid: A Novel IoT Malware Traffic Analysis Framework Using Convolutional Neural Network and Binary Visualisation

AU - Shire, Robert

AU - Shiaeles, Stavros

AU - Bendiab, Keltoum

AU - Ghita, Bogdan

AU - Kolokotronis, Nicholas

PY - 2019

Y1 - 2019

KW - 4605 Data Management and Data Science

KW - 4606 Distributed Computing and Systems Software

KW - 46 Information and Computing Sciences

KW - 4604 Cybersecurity and Privacy

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DO - 10.1007/978-3-030-30859-9_6

M3 - Chapter

VL - 0

T3 - Lecture Notes in Computer Science

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EP - 76

BT - Internet of Things, Smart Spaces, and Next Generation Networks and Systems

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