A lightweight authentication mechanism for M2M communications in industrial IoT environment
Esfahani, Alireza ORCID: https://orcid.org/0000-0002-2100-1569, Mantas, Georgios ORCID: https://orcid.org/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:10.1109/JIOT.2017.2737630)
Preview |
PDF (Author Accepted Manuscript)
20088 MANTAS_A_Lightweight_Authentication_Mechanism_2017.pdf - Accepted Version Download (1MB) | Preview |
Abstract
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 / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) |
Last Modified: | 30 May 2022 09:26 |
URI: | http://gala.gre.ac.uk/id/eprint/20088 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year