5G Aviation Networks Using Novel AI Approach for DDoS Detection

Author:

Whitworth Huw1ORCID,Al-Rubaye Saba1ORCID,Tsourdos Antonios1ORCID,Jiggins Julia2

Affiliation:

1. School of Aerospace, Cranfield University, Cranfield, U.K.

2. Thales Avionics, Thales UK, Crawley, U.K.

Funder

Department for Transport (DfT), U.K. Government under the Future Aviation Security Solutions Industrial Ph.D. Partnerships

Thales, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference70 articles.

1. Recursive feature elimination based multi-variate Naïve Bayes classification for product recommendation;gollagi;Proc 4th Int Conf Emerg Res Electron Comput Sci Technol (ICERECT),2022

2. DoS/DDoS Detection Scheme Using Statistical Method Based on the Destination Port Number

3. Statistical approach based detection of distributed denial of service attack in a software defined network;bavani;Proc 6th Int Conf Adv Comput Commun Syst (ICACCS),2020

4. Imaging time-series to improve classification and imputation;wang;arXiv 1506 00327,2015

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