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AI Approaches for IoT Security Analysis

  • IoT networks are increasingly used as entry points for cyberattacks, as often they offer low-security levels, as they may allow the control of physical systems and as they potentially also open the access to other IT networks and infrastructures. Existing intrusion detection systems (IDS) and intrusion prevention systems (IPS) mostly concentrate on legacy IT networks. Nowadays, they come with aIoT networks are increasingly used as entry points for cyberattacks, as often they offer low-security levels, as they may allow the control of physical systems and as they potentially also open the access to other IT networks and infrastructures. Existing intrusion detection systems (IDS) and intrusion prevention systems (IPS) mostly concentrate on legacy IT networks. Nowadays, they come with a high degree of complexity and adaptivity, including the use of artificial intelligence. It is only recently that these techniques are also applied to IoT networks. In this paper, we present a survey of machine learning and deep learning methods for intrusion detection, and we investigate how previous works used federated learning for IoT cybersecurity. For this, we present an overview of IoT protocols and potential security risks. We also report the techniques and the datasets used in the studied works, discuss the challenges of using ML, DL and FL for IoT cybersecurity and provide future insights.‚Ķshow moreshow less

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Metadaten
Author:Mohamed Abou Messaad, Chadlia Jerad, Axel SikoraORCiDGND
Editor:Marcin Paprzycki, Sabu M. Thampi, Sushmita Mitra, Ljiljana Trajkovic, El-Sayed M. El-Alfy
Publisher:Springer
Place of publication:Singapore
Date of Publication (online):2021/06/01
ISBN:978-981-16-0729-5 (Print)
ISBN:978-981-16-0730-1 (eBook)
Language:English
Parent Title (English):Intelligent Systems, Technologies and Applications. Proceedings of Sixth ISTA 2020, India
Volume:Advances in Intelligent Systems and Computing 1353
ISSN:2194-5357 (Print)
ISSN:2194-5365 (E-ISSN)
First Page:47
Last Page:70
Document Type:Conference Proceeding
Institutes:Bibliografie
Open Access:Zugriffsbeschränkt
Release Date:2021/11/12
Licence (German):License LogoEs gilt das UrhG
Note:
Konferenz: Sixth International Symposium on Intelligent Systems Technologies and Applications (ISTA'20), October 14-17, 2020, Chennai, India
URL:https://link.springer.com/chapter/10.1007/978-981-16-0730-1_4
DOI:https://doi.org/10.1007/978-981-16-0730-1_4