Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT

Lyes Khoukhi; Hajar Moudoud; Soumaya Cherkaoui

doi:10.1109/MNET.011.2000449

Journal Articles IEEE Network Year : 2021

Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT

(1) , (2) ,

1
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Lyes Khoukhi

Function : Author
PersonId : 737453
IdHAL : lyes-khoukhi
ORCID : 0000-0002-1922-769X
IdRef : 179372742

Equipe SAFE - Laboratoire GREYC - UMR6072

Hajar Moudoud

Function : Author

Environnement de Réseaux Autonomes

Soumaya Cherkaoui

Function : Author
PersonId : 770657
ORCID : 0000-0001-6140-770X

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Computer Science [cs]

Lyes Khoukhi : Connect in order to contact the contributor

https://hal-normandie-univ.archives-ouvertes.fr/hal-03404179

Submitted on : Tuesday, October 26, 2021-2:50:19 PM

Last modification on : Friday, March 24, 2023-2:53:23 PM

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hal-03404179 , version 1 (26-10-2021)

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HAL Id : hal-03404179 , version 1
ARXIV : 2201.11368
DOI : 10.1109/MNET.011.2000449

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Lyes Khoukhi, Hajar Moudoud, Soumaya Cherkaoui. Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT. IEEE Network, 2021, 35 (2), pp.194-201. ⟨10.1109/MNET.011.2000449⟩. ⟨hal-03404179⟩

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Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT

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