Resource exhaustion attack detection scheme for WLAN using artificial neural network

Resource exhaustion attack detection scheme for WLAN using artificial neural network

IEEE 802.11 Wi-Fi networks are prone to many denial of service (DoS) attacks due to vulnerabilities at the media access control (MAC) layer of the 802.11 protocol. Due to the data transmission nature of the wireless local area network (WLAN) through radio waves, its communication is exposed to the p...

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Bibliographic Details
Main Authors: Abdallah, Abdallah Elhigazi, Hamdan, Mosab, Abd. Razak, Shukor, A. Ghalib, Fuad, Hamzah, Muzaffar, Khan, Suleman, Ali, Siddiq Ahmed Babikir, Khairi, Mutaz H. H.Khairi, Salih, Sayeed
Format: Article
Language:English
Published: Tech Science Press 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/106319/1/ShukorAbdRazak2023_ResourceExhaustionAttackDetectionScheme.pdf
http://eprints.utm.my/106319/
http://dx.doi.org/10.32604/cmc.2023.031047
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/106319/1/ShukorAbdRazak2023_ResourceExhaustionAttackDetectionScheme.pdf
http://eprints.utm.my/106319/
http://dx.doi.org/10.32604/cmc.2023.031047

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