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

Authors

Stavros Shiaeles
Robert Shire
Keltoum Bendiab
Bogdan Ghita, School of Engineering, Computing and Mathematics
Nicholas Kolokotronis, University of Peloponnese

ORCID

• Bogdan Ghita: 0000-0002-1788-547X

DOI

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

Publication Date

2019-01-01

Publication Title

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

Embargo Period

9999-12-31

Keywords

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

First Page

65

Last Page

76

Recommended Citation

Shiaeles, S., Shire, R., Bendiab, K., Ghita, B., & Kolokotronis, N. (2019) 'Malware Squid: A Novel IoT Malware Traffic Analysis Framework Using Convolutional Neural Network and Binary Visualisation', Internet of Things, Smart Spaces, and Next Generation Networks and Systems, , pp. 65-76. Available at: 10.1007/978-3-030-30859-9_6" >https://doi.org/10.1007/978-3-030-30859-9_6