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Optimizing IoT security via TPM integration: An energy efficiency case study for node authentication

Optimizing IoT security via TPM integration: An energy efficiency case study for node authentication

Authors: Anestis Papakotoulas, Theodoros Mylonas, Kakia Panagidi, Stathes Hadjiefthymiades
Status: Final
Date of publication: 12 March 2024
Published in: ITU Journal on Future and Evolving Technologies, Volume 5 (2024), Issue 1, Pages 73-87
Article DOI : https://doi.org/10.52953/GYTK2455
Abstract:
The widespread adoption of Internet of Things (IoT) applications in different technical fields has resulted in a significant increase in connected devices while amplifying concerns regarding security and privacy. The presence of security vulnerabilities in various layers of IoT design has emerged as an important issue. Trusted computing, particularly leveraging the Trusted Platform Module (TPM), is seen as a promising approach to counter these vulnerabilities. This paper investigates thoroughly the utilization of TPM technology to enhance node authentication with a focus on energy efficiency. Researchers closely examine each layer to carefully outline an adversary model that is tailored to the IoT ecosystem. The node authentication scheme that is proposed leverages TPM, which has advantages both in terms of processing time and energy. The outcome of this study can be applied to Flying AdHoc Network (FANET) nodes that operate in areas with high levels of traffic, where there are strict safety and reliability standards. Experiments conducted present the essential significance of TPM in ensuring secure node authentication across various application environments. The adoption of TPM technology is validated through rigorous performance assessments, revealing significant improvements in both energy efficiency and security.

Keywords: Cryptography, energy efficiency, Internet of Things, node authentication, trusted platform module 2.0, wireless sensor networks
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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