Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Evaluation of Power Consumption Efficiency of Encryption Schemes for RFID Systems

Version 1 : Received: 16 February 2024 / Approved: 16 February 2024 / Online: 16 February 2024 (11:34:29 CET)

How to cite: Gazziro, M.; Ando Junior, O. H.; Cavallari, M. R.; Carmo, J. P.; Afonso, J. A. Evaluation of Power Consumption Efficiency of Encryption Schemes for RFID Systems. Preprints 2024, 2024020899. https://doi.org/10.20944/preprints202402.0899.v1 Gazziro, M.; Ando Junior, O. H.; Cavallari, M. R.; Carmo, J. P.; Afonso, J. A. Evaluation of Power Consumption Efficiency of Encryption Schemes for RFID Systems. Preprints 2024, 2024020899. https://doi.org/10.20944/preprints202402.0899.v1

Abstract

This paper provides a comparative analysis of AES (Advanced Encryption Standard) and Salsa20 algorithm implementations, focusing on power consumption efficiency in passive RFID (Radio Frequency Identification) tags and ultra-low-power devices. The main objective of this work is to determine which of these algorithms is more suitable to operate in these types of devices. For this purpose, ASIC (Application-Specific Integrated Circuit) implementations of AES and Salsa20 based on low-power approaches were developed and their power consumption was evaluated. Results demonstrate that Salsa20 power consumption is lower than AES (2.82μW and 4.01μW, respectively - both in 0.18μm), indicating that Salsa20 is a better choice than AES for passive RFID tags.

Keywords

AES; Salsa20; RFID tags; cryptography; low-power devices; power efficiency; ASIC

Subject

Engineering, Electrical and Electronic Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.