dc.contributor.author | Shire, R | en |
dc.contributor.author | Shiaeles, S | en |
dc.contributor.author | Bendiab, K | en |
dc.contributor.author | Ghita, B | en |
dc.contributor.author | Kolokotronis, N | en |
dc.date.accessioned | 2022-11-07T11:57:07Z | |
dc.date.available | 2022-11-07T11:57:07Z | |
dc.date.issued | 2021-09-08 | en |
dc.identifier.uri | http://hdl.handle.net/10026.1/19872 | |
dc.language.iso | en | en |
dc.subject | cs.CR | en |
dc.subject | cs.CR | en |
dc.subject | cs.AI | en |
dc.title | Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation | en |
plymouth.author-url | http://arxiv.org/abs/2109.03375v1 | en |
plymouth.publisher-url | http://dx.doi.org/10.1007/978-3-030-30859-9_6 | en |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.rights.embargoperiod | Not known | en |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | en |