The Use of Artificial Intelligence for The Detection Covert Channels Attacks in New Generation Internet Protocol IPv6
Author | AlSenaid, Felwa Rashed |
Available date | 2020-10-25T08:10:18Z |
Publication Date | 2020 |
Publication Name | Qatar University Annual Research Forum & Exhibition 2020 |
Citation | AlSenaid 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 |
Abstract | Being 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. |
Language | en |
Publisher | Qatar University Press |
Subject | Network Security Artificial Intelligence Convolutional Neural Network Covert Channel. |
Type | Poster |
Files in this item
This item appears in the following Collection(s)
-
Theme 3: Information and Communication Technologies [19 items ]