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AuthorAlSenaid, Felwa Rashed
Available date2020-10-25T08:10:18Z
Publication Date2020
Publication NameQatar University Annual Research Forum & Exhibition 2020
CitationAlSenaid F.R., "The Use of Artificial Intelligence for The Detection Covert Channels Attacks in New Generation Internet Protocol IPv6", Qatar University Annual Research Forum and Exhibition (QUARFE 2020), Doha, 2020, https://doi.org/10.29117/quarfe.2020.0247
URIhttps://doi.org/10.29117/quarfe.2020.0247
URIhttp://hdl.handle.net/10576/16661
AbstractBeing instrumental to the Qatar national vision 2030 activities and following up with "Achieving Security, stability and maintaining public safety" objectives, the present paper aims to safeguard the information and monitor internet communications in the region effectively. The increased dependence of internet-based technologies in all facets of life challenges the government and policymakers with the need for an effective shield mechanism against passive and active security violations. The present paper adopted an artificial intelligence-based solution for detecting suspicious communications. Further, a dataset created which was generated by simulating a number of attack and normal communications was used for both training and testing the model The proposed model produces an accuracy of 100% with a score of 1 for precision, recall, and F1 score. The project forward a novel, efficient approach for detecting covert channels and suspicion communication.
Languageen
PublisherQatar University Press
SubjectNetwork Security
Artificial Intelligence
Convolutional Neural Network
Covert Channel.
TitleThe Use of Artificial Intelligence for The Detection Covert Channels Attacks in New Generation Internet Protocol IPv6
TypePoster
dc.accessType Open Access


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