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

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

Original language	English
Title of host publication	Lecture Notes in Computer Science
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

Access to Document

@inproceedings{92f3eb827aad4b34afe976270d371a01,

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",

volume = "0",

pages = "65--76",

booktitle = "Lecture Notes in Computer Science",

}

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

VL - 0

SP - 65

EP - 76

BT - Lecture Notes in Computer Science

ER -