Leveraging Larger AES Keys in LoRaWAN: A Practical Evaluation of Energy and Time Costs

Author:

Thaenkaew Phithak12ORCID,Quoitin Bruno1ORCID,Meddahi Ahmed2ORCID

Affiliation:

1. Department of Computer Science, University of Mons, 7000 Mons, Belgium

2. Centre for Digital Systems, IMT Nord Europe, Institut Mines-Télécom, 59000 Lille, France

Abstract

Internet of Things (IoT) devices increasingly contribute to critical infrastructures, necessitating robust security measures. LoRaWAN, a low-power IoT network, employs the Advanced Encryption Standard (AES) with a 128-bit key for encryption and integrity, balancing efficiency and security. As computational capabilities of devices advance and recommendations for stronger encryption, such as AES-256, emerge, the implications of using longer AES keys (192 and 256 bits) on LoRaWAN devices’ energy consumption and processing time become crucial. Despite the significance of the topic, there is a lack of research on the implications of using larger AES keys in real-world LoRaWAN settings. To address this gap, we perform extensive tests in a real-world LoRaWAN environment, modifying the source code of both a LoRaWAN end device and open-source server stack to incorporate larger AES keys. Our results show that, while larger AES keys increase both energy consumption and processing time, these increments are minimal compared to the time on air. Specifically, for the maximum payload size we used, when comparing AES-256 to AES-128, the additional computational time and energy are, respectively, 750 ms and 236 μJ. However, in terms of time on air costs, these increases represent just 0.2% and 0.13%, respectively. Our observations confirm our intuition that the increased costs correlate to the number of rounds of AES computation. Moreover, we formulate a mathematical model to predict the impact of longer AES keys on processing time, which further supports our empirical findings. These results suggest that implementing longer AES keys in LoRaWAN is a practical solution enhancing its security strength while not significantly impacting energy consumption or processing time.

Funder

University of Mons

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference40 articles.

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3. LoRa Alliance (2023, November 08). LoRaWAN Specification. Specification V1.0.2, LoRa Alliance. Available online: https://resources.lora-alliance.org/document/lorawan-specification-v1-0-2.

4. Yang, X., Karampatzakis, E., Doerr, C., and Kuipers, F. (2018, January 17–20). Security Vulnerabilities in LoRaWAN. Proceedings of the 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI), Orlando, FL, USA.

5. Tomasin, S., Zulian, S., and Vangelista, L. (2017, January 19–22). Security Analysis of LoRaWAN Join Procedure for Internet of Things Networks. Proceedings of the 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), San Francisco, CA, USA.

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