A Layered Taxonomy of Internet of Things Attacks

Farag Azzedin; Ibraheem Alhejri

doi:10.1145/3584202.3584297

A Layered Taxonomy of Internet of Things Attacks

Farag Azzedin^*
, Ibraheem Alhejri

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. However, ensuring the security of IoT systems is really challenging due to the heterogeneous nature of the IoT environments. IoT has experienced unprecedented attacks that target not only businesses but also have a probability of endangering human lives. Therefore, providing a comprehensive classification of IoT attacks and the available defenses against them is of great importance. In this paper, we conduct a survey of IoT security attacks and provide a taxonomy to classify them based on different aspects. This comprehensive survey would be helpful for industry and academic researchers working to design secure IoT systems by analyzing which attacks have been investigated and which have remained unexplored.

Original language	English
Title of host publication	Proceedings of the 2022 6th International Conference on Future Networks and Distributed Systems, ICFNDS 2022
Publisher	Association for Computing Machinery
Pages	631-636
Number of pages	6
ISBN (Electronic)	9781450399050
DOIs	https://doi.org/10.1145/3584202.3584297
State	Published - 15 Dec 2022
Event	6th International Conference on Future Networks and Distributed Systems, ICFNDS 2022 - Tashkent, Uzbekistan Duration: 15 Dec 2022 → 16 Dec 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	6th International Conference on Future Networks and Distributed Systems, ICFNDS 2022
Country/Territory	Uzbekistan
City	Tashkent
Period	15/12/22 → 16/12/22

Bibliographical note

Publisher Copyright:
© 2022 ACM.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Attacks
IoT
Security
Survey
Taxonomy

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3584202.3584297

Cite this

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title = "A Layered Taxonomy of Internet of Things Attacks",

abstract = "Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. However, ensuring the security of IoT systems is really challenging due to the heterogeneous nature of the IoT environments. IoT has experienced unprecedented attacks that target not only businesses but also have a probability of endangering human lives. Therefore, providing a comprehensive classification of IoT attacks and the available defenses against them is of great importance. In this paper, we conduct a survey of IoT security attacks and provide a taxonomy to classify them based on different aspects. This comprehensive survey would be helpful for industry and academic researchers working to design secure IoT systems by analyzing which attacks have been investigated and which have remained unexplored.",

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Azzedin, F & Alhejri, I 2022, A Layered Taxonomy of Internet of Things Attacks. in Proceedings of the 2022 6th International Conference on Future Networks and Distributed Systems, ICFNDS 2022. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 631-636, 6th International Conference on Future Networks and Distributed Systems, ICFNDS 2022, Tashkent, Uzbekistan, 15/12/22. https://doi.org/10.1145/3584202.3584297

A Layered Taxonomy of Internet of Things Attacks. / Azzedin, Farag; Alhejri, Ibraheem.
Proceedings of the 2022 6th International Conference on Future Networks and Distributed Systems, ICFNDS 2022. Association for Computing Machinery, 2022. p. 631-636 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Alhejri, Ibraheem

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AB - Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. However, ensuring the security of IoT systems is really challenging due to the heterogeneous nature of the IoT environments. IoT has experienced unprecedented attacks that target not only businesses but also have a probability of endangering human lives. Therefore, providing a comprehensive classification of IoT attacks and the available defenses against them is of great importance. In this paper, we conduct a survey of IoT security attacks and provide a taxonomy to classify them based on different aspects. This comprehensive survey would be helpful for industry and academic researchers working to design secure IoT systems by analyzing which attacks have been investigated and which have remained unexplored.

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ER -

A Layered Taxonomy of Internet of Things Attacks

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this