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Formal security analysis of lightweight authenticated key agreement protocol for IoT in cloud computing

Authors :
Ahmed A. Abd-El Hafez
Atef Z. Ghalwash
Ahmed H. Aly
Mona Nasr
Source :
Indonesian Journal of Electrical Engineering and Computer Science. 24:621
Publication Year :
2021
Publisher :
Institute of Advanced Engineering and Science, 2021.

Abstract

The internet of things (IoT) and cloud computing are evolving technologies in the information technology field. Merging the pervasive IoT technology with cloud computing is an innovative solution for better analytics and decision-making. Deployed IoT devices offload different types of data to the cloud, while cloud computing converges the infrastructure, links up the servers, analyzes information obtained from the IoT devices, reinforces processing power, and offers huge storage capacity. However, this merging is prone to various cyber threats that affect the IoT-Cloud environment. Mutual authentication is considered as the forefront mechanism for cyber-attacks as the IoT-Cloud participants have to ensure the authenticity of each other and generate a session key for securing the exchanged traffic. While designing these mechanisms, the constrained nature of the IoT devices must be taken into consideration. We proposed a novel lightweight protocol (Light-AHAKA) for authenticating IoT-Cloud elements and establishing a key agreement for encrypting the exchanged sensitive data was proposed. In this paper, the formal verification of (Light-AHAKA) was presented to prove and verify the correctness of our proposed protocol to ensure that the protocol is free from design flaws before the deployment phase. The verification is performed based on two different approaches, the strand space model and the automated validation of internet security protocols and applications (AVISPA) tool.

Details

ISSN :
25024760 and 25024752
Volume :
24
Database :
OpenAIRE
Journal :
Indonesian Journal of Electrical Engineering and Computer Science
Accession number :
edsair.doi...........067199983085530eadb72c78f39ad672
Full Text :
https://doi.org/10.11591/ijeecs.v24.i1.pp621-636