Evaluation Metrics in DoS Attacks Detection Approaches in IoT: A Survey and a Taxonomy

Mohamed Riadh Kadri; Abdelkrim Abdelli; Lynda Mokdad

doi:10.1007/978-3-031-18516-8_4

Conference Papers Year : 2023

Evaluation Metrics in DoS Attacks Detection Approaches in IoT: A Survey and a Taxonomy

, (1) , (2)

1
2

Mohamed Riadh Kadri

Function : Author
PersonId : 1234250
ORCID : 0000-0002-9926-4932

Abdelkrim Abdelli

Function : Author
PersonId : 1231785
ORCID : 0000-0002-9700-2293

Université des Sciences et de la Technologie Houari Boumediene = University of Sciences and Technology Houari Boumediene [Alger]

Lynda Mokdad

Function : Author
PersonId : 1231763
IdHAL : lynda-mokdad
ORCID : 0000-0002-6182-4869

Laboratoire d'Algorithmique Complexité et Logique

CV

Domains

Computer Science [cs]

lynda mokdad : Connect in order to contact the contributor

https://hal.u-pec.fr/hal-04016139

Submitted on : Monday, March 6, 2023-12:30:46 PM

Last modification on : Tuesday, March 7, 2023-3:19:31 AM

Dates and versions

hal-04016139 , version 1 (06-03-2023)

Identifiers

HAL Id : hal-04016139 , version 1
DOI : 10.1007/978-3-031-18516-8_4

Cite

Mohamed Riadh Kadri, Abdelkrim Abdelli, Lynda Mokdad. Evaluation Metrics in DoS Attacks Detection Approaches in IoT: A Survey and a Taxonomy. 7th International Symposium on Modelling and Implementation of Complex Systems (MISC'22), Oct 2022, Mostaganem, Algeria. pp.46-61, ⟨10.1007/978-3-031-18516-8_4⟩. ⟨hal-04016139⟩

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