Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning

Ferrag, Mohamed Amine; Friha, Othmane; Hamouda, Djallel; Maglaras, Leandros; Janicke, Helge

doi:10.1109/ACCESS.2022.3165809

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Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning

Author(s): Mohamed Amine Ferrag ¹ , Othmane Friha ² , Djallel Hamouda ³ , Leandros Maglaras ⁴ , Helge Janicke ⁵

Publication date (Print): 2022

Journal: IEEE Access

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Most cited references 19

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Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset

Nickolaos Koroniotis, Nour Moustafa, Elena Sitnikova … (2019)

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N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

Yair Meidan, Michael Bohadana, Yael Mathov … (2018)

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Deep Learning for IoT Big Data and Streaming Analytics: A Survey

Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour … (2019)

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Author and article information

Contributors

Mohamed Amine Ferrag: (View ORCID Profile)

Othmane Friha: (View ORCID Profile)

Djallel Hamouda: (View ORCID Profile)

Leandros Maglaras: (View ORCID Profile)

Helge Janicke: (View ORCID Profile)

Journal

Title: IEEE Access

Abbreviated Title: IEEE Access

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Electronic): 2169-3536

Publication date Created: 2022

Publication date (Print): 2022

Volume: 10

Pages: 40281-40306

Affiliations

[1 ]Department of Computer Science, Guelma University, Guelma, Algeria

[2 ]Networks and Systems Laboratory (LRS), Badji Mokhtar—Annaba University, Annaba, Algeria

[3 ]Labstic Laboratory, Guelma University, Guelma, Algeria

[4 ]School of Computer Science and Informatics, De Montfort University, Leicester, U.K.

[5 ]Cyber Security Cooperative Research Centre (CSCRC), Edith Cowan University, Perth, WA, Australia

Article

DOI: 10.1109/ACCESS.2022.3165809

SO-VID: a8c4f7e4-0591-496f-866f-6bafcc048182

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https://creativecommons.org/licenses/by/4.0/legalcode

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Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning

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Computer Vision, Deep Learning, Deep Reinforcement Learning, IoT

Most cited references 19

Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset

N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

Deep Learning for IoT Big Data and Streaming Analytics: A Survey

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