The use of Artificial Intelligence for the Detection of Covert Channels attacks in New Generation Internet Protocol IPv6
Felwa Rashed AlSenaid · University of the Future: Re-Imagining Research and Higher Education · 2020
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 on 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 attacks 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 is a novel, efficient approach for detecting covert channels and suspicious communication.