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

Authors

R Shire
S Shiaeles
K Bendiab
B Ghita, School of Engineering, Computing and Mathematics
N Kolokotronis

ORCID

• Ghita, Bogdan: 0000-0002-1788-547X

DOI

10.48550/arxiv.2109.03375

Publication Date

2021-09-07

Organisational Unit

School of Engineering, Computing and Mathematics

Keywords

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

Recommended Citation

Shire, R., Shiaeles, S., Bendiab, K., Ghita, B., & Kolokotronis, N. (2021) 'Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation', Available at: https://doi.org/10.48550/arxiv.2109.03375