Citation
Abstract
The development of the industrial Internet of Things (IIoT) promotes the integration of the cross-platform systems in fog computing, which enable users to obtain access to multiple application located in different geographical locations. Fog users at the network’s edge communicate with many fog servers in different fogs and newly joined servers that they had never contacted before. This communication complexity brings enormous security challenges and potential vulnerability to malicious threats. The attacker may replace the edge device with a fake one and authenticate it as a legitimate device. Therefore, to prevent unauthorized users from accessing fog servers, we propose a new secure and lightweight multi-factor authentication scheme for cross-platform IoT systems (SELAMAT). The proposed scheme extends the Kerberos workflow and utilizes the AES-ECC algorithm for efficient encryption keys management and secure communication between the edge nodes and fog node servers to establish secure mutual authentication. The scheme was tested for its security analysis using the formal security verification under the widely accepted AVISPA tool. We proved our scheme using Burrows Abdi Needham’s logic (BAN logic) to prove secure mutual authentication. The results show that the SELAMAT scheme provides better security, functionality, communication, and computation cost than the existing schemes.
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Official URL or Download Paper: https://www.mdpi.com/1424-8220/21/4/1428
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Engineering |
DOI Number: | https://doi.org/10.3390/s21041428 |
Publisher: | MDPI AG |
Keywords: | Multi-factor authentication; Fog computing; Industrial IoT; Fog node; Cross-platform |
Depositing User: | Ms. Che Wa Zakaria |
Date Deposited: | 17 Feb 2023 01:22 |
Last Modified: | 17 Feb 2023 01:22 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/s21041428 |
URI: | http://psasir.upm.edu.my/id/eprint/95028 |
Statistic Details: | View Download Statistic |
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