Survey and classification of Dos and DDos attack detection and validation approaches for IoT environments-Reference-Cited by-同舟云学术

Survey and classification of Dos and DDos attack detection and validation approaches for IoT environments

Published:2024-04 Issue: Volume:25 Page:101021
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Kadri Mohamed Riadh,Abdelli Abdelkrim^ORCID,Ben Othman Jalel,Mokdad Lynda

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference111 articles.

1. M. Bouakouk, A. Abdelli, L. Mokdad, Survey on the Cloud-IoT paradigms: Taxonomy and architectures, in: IEEE ISCC, 2020, pp. 1–6.

2. Service discovery and selection in IoT: A survey and a taxonomy;Achir;JNCA,2022

3. A survey on IoT big data analytic systems: Current and future;Sasaki;IEEE Internet Things J.,2022

4. A comprehensive study of security of internet-of-things;Mosenia;IEEE Trans. Emerg. Top. Comput.,2016

5. Internet of things security: A survey;Alaba;J. Netw. Comput. Appl.,2017

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