Detecting flooding DDoS attacks in software defined networks using supervised learning techniques-Reference-Cited by-同舟云学术

Detecting flooding DDoS attacks in software defined networks using supervised learning techniques

Published:2022-11 Issue: Volume:35 Page:101176
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Wang Song,Balarezo Juan Fernando,Chavez Karina Gomez,Al-Hourani Akram,Kandeepan Sithamparanathan,Asghar Muhammad Rizwan,Russello Giovanni

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference44 articles.

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4. Software-defined networking (SDN) and distributed denial of service (DDoS) attacks in cloud computing environments: A survey, some research issues, and challenges;Yan;IEEE Commun. Surveys Tutor.,2015

5. Software-defined networking: A comprehensive survey;Kreutz;Proc. IEEE,2015

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