5G Aviation Networks Using Novel AI Approach for DDoS Detection
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10185042.pdf?arnumber=10185042
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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