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 › Conference proceedings published in a book › peer-review

Original language	English
Title of host publication	Internet of Things, Smart Spaces, and Next Generation Networks and Systems
Subtitle of host publication	Lecture Notes in Computer Science
Pages	65-76
DOIs	https://doi.org/10.1007/978-3-030-30859-9_6
Publication status	Published - 2019

Publication series

Name	Lecture Notes in Computer Science

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

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Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation: Preprint
Shire, R., Shiaeles, S., Bendiab, K., Ghita, B. & Kolokotronis, N., 7 Sept 2021.
Research output: Working paper › Preprint

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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: Lecture Notes in Computer Science (pp. 65-76). (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-030-30859-9_6

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

author = "Robert Shire and Stavros Shiaeles and Keltoum Bendiab and Bogdan Ghita and Nicholas Kolokotronis",

year = "2019",

doi = "10.1007/978-3-030-30859-9_6",

language = "English",

isbn = "9783030308582",

series = "Lecture Notes in Computer Science",

pages = "65--76",

booktitle = "Internet of Things, Smart Spaces, and Next Generation Networks and Systems",

}

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: Lecture Notes in Computer Science. Lecture Notes in Computer Science, 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: Lecture Notes in Computer Science. 2019. p. 65-76 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review

TY - GEN

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

U2 - 10.1007/978-3-030-30859-9_6

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

M3 - Conference proceedings published in a book

SN - 9783030308582

T3 - Lecture Notes in Computer Science

SP - 65

EP - 76

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

ER -

Shire R, Shiaeles S, Bendiab K, Ghita B, Kolokotronis N. 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: Lecture Notes in Computer Science. 2019. p. 65-76. (Lecture Notes in Computer Science). 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

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Research output

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

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