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pro vyhledávání: '"Bendiab, Keltoum"'
Publikováno v:
NEW2AN 2019, ruSMART 2019: Internet of Things, Smart Spaces, and Next Generation Networks and Systems pp 65-76
Internet of Things devices have seen a rapid growth and popularity in recent years with many more ordinary devices gaining network capability and becoming part of the ever growing IoT network. With this exponential growth and the limitation of resour
Externí odkaz:
http://arxiv.org/abs/2109.03375
Publikováno v:
19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019
Facebook represents the current de-facto choice for social media, changing the nature of social relationships. The increasing amount of personal information that runs through this platform publicly exposes user behaviour and social trends, allowing a
Externí odkaz:
http://arxiv.org/abs/1910.14417
Publikováno v:
16th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2018)
Secure and reliable management of identities has become one of the greatest challenges facing cloud computing today, mainly due to the huge number of new cloud-based applications generated by this model, which means more user accounts, passwords, and
Externí odkaz:
http://arxiv.org/abs/1903.04767
Publikováno v:
Panagiotou, A, Ghita, B, Shiaeles, S & Bendiab, K 2019, FaceWallGraph : using machine learning for profiling user behaviour from Facebook Wall . in O Galinina, S Andreev, Y Koucheryavy & S Balandin (eds), Internet of Things, Smart Spaces, and Next Generation Networks and Systems-19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings . Lecture Notes in Computer Science, vol. 11660, Springer, pp. 125-134, 19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019, St. Petersburg, Russian Federation, 26/08/19 . https://doi.org/10.1007/978-3-030-30859-9_11
Facebook represents the current de-facto choice for social media, changing the nature of social relationships. The increasing amount of personal information that runs through this platform publicly exposes user behaviour and social trends, allowing a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3461::592375cad44d85be704045638be904af
https://researchportal.port.ac.uk/ws/files/16183879/FaceWallGrap4.pdf
https://researchportal.port.ac.uk/ws/files/16183879/FaceWallGrap4.pdf
Publikováno v:
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 O Galinina, S Andreev, S Balandin & Y Koucheryavy (eds), Internet of Things, Smart Spaces, and Next Generation Networks and Systems : 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11660, Springer Verlag, pp. 65-76, 19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019, St. Petersburg, Russian Federation, 26/08/19 . https://doi.org/10.1007/978-3-030-30859-9_6
Internet of Things devices have seen a rapid growth and popularity in recent years with many more ordinary devices gaining network capability and becoming part of the ever growing IoT network. With this exponential growth and the limitation of resour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3461::ed3795692ca6ccd2f0d784a67cace552
https://researchportal.port.ac.uk/portal/en/publications/malware-squid-a-novel-iot-malware-traffic-analysis-framework-using-convolutional-neural-network-and-binary-visualisation(5a3dcf91-ae83-4ce7-8b73-9b554c2aeebd).html
https://researchportal.port.ac.uk/portal/en/publications/malware-squid-a-novel-iot-malware-traffic-analysis-framework-using-convolutional-neural-network-and-binary-visualisation(5a3dcf91-ae83-4ce7-8b73-9b554c2aeebd).html
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