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A lightweight authentication mechanism for M2M communications in industrial IoT environment

A lightweight authentication mechanism for M2M communications in industrial IoT environment

Esfahani, Alireza, Mantas, Georgios ORCID: 0000-0002-8074-0417, Matischek, Rainer, Saghezchi, Firooz B., Rodriguez, Jonathan, Bicaku, Ani, Maksuti, Silia, Tauber, Markus, Schmittner, Christoph and Bastos, Joaquim (2017) A lightweight authentication mechanism for M2M communications in industrial IoT environment. IEEE Internet of Things. pp. 1-8. ISSN 2327-4662 (doi:

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In the emerging Industrial IoT era, Machine-to-Machine (M2M) communication technology is considered as a key underlying technology for building Industrial IoT environments where devices (e.g., sensors, actuators, gateways) are enabled to exchange information with each other in an autonomous way without human intervention. However, most of the existing M2M protocols that can be also used in the Industrial IoT domain provide security mechanisms based on asymmetric cryptography resulting in high computational cost. As a consequence, the resource-constrained IoT devices are not able to support them appropriately and thus, many security issues arise for the Industrial IoT environment. Therefore, lightweight security mechanisms are required for M2M communications in Industrial IoT in order to reach its full potential. As a step towards this direction, in this paper, we propose a lightweight authentication mechanism, based only on hash and XOR operations, for M2M communications in Industrial IoT environment. The proposed mechanism is characterized by low computational cost, communication and storage overhead, while achieving mutual authentication, session key agreement, device’s identity confidentiality, and resistance against the following attacks: replay attack, man-in-the-middle attack, impersonation attack, and modification attack.

Item Type: Article
Additional Information: Impact Factor: 7.596
Uncontrolled Keywords: Industrial IoT, M2M Communications, Lightweight authentication, Security, Sensors
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 02 Nov 2020 13:40
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT a
Selected for GREAT 2019: GREAT 6
Selected for REF2021: REF 1

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