Mathis DURAND (PhD Student)
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My research
PhD Student at IMT Atlantique
Latest posts by Mathis Durand (see all)
- Welcome Mathis Durand! - January 31, 2024
My publications
2022
Dimov, Valentin; Kirdan, Erkin; Pahl, Marc-Oliver
Resource tradeoffs for TLS-secured MQTT-based IoT Management Proceedings Article
In: NOMS 2022 Workshops - Manage-IoT 2022 (), 2022.
Abstract | Links | BibTeX | Tags: Case Studies, Testbeds and Practical Experiences; Internet of Things (IoT); Applications and case studies; Sensor networks
@inproceedings{222179,
title = {Resource tradeoffs for TLS-secured MQTT-based IoT Management},
author = {Valentin Dimov and Erkin Kirdan and Marc-Oliver Pahl},
url = {http://XXXXX/222179.pdf},
year = {2022},
date = {2022-04-01},
booktitle = {NOMS 2022 Workshops - Manage-IoT 2022 ()},
abstract = {Transport Layer Security (TLS) is an established Internet security standard. TLS offers a variety of configuration options that affect resource consumption. For deployments of constrained devices in the Internet of Things (IoT), it is crucial to optimize TLSs resource consumption. This study examines how the TLS cryptographic algorithms, so-called cipher suites, affect an MQTT applications resource consumption. MQTT is a popular protocol for IoT. We construct a model application using the Mosquitto MQTT broker and client library. We measure the consumption of CPU cycles, memory, and network bandwidth with the IANA-recommended TLS 1.2 and TLS 1.3 cipher suites. We test and compare different variants for the key exchange, server authentication, client authentication, and symmetric encryption algorithms, as well as recommended elliptic curves for elliptic curve cryptography (ECC) algorithms. We identify ECDHE key exchange with the x25519 curve and mutual PSK authentication as the best handshake performance. Ed25519 provides the best performance among the certificate authentication options. The effect of choosing a faster symmetric cipher on CPU costs depends on message size. Changing symmetric ciphers does not affect the performance for 100 B messages, but more differences are observed for 10 kB messages. Overall, the findings show that resource consumption can be optimized by choosing the cipher suite and adjusting the length and rate of MQTT messages. Optimized resource consumption enables reliable management of MQTT-based IoT.},
keywords = {Case Studies, Testbeds and Practical Experiences; Internet of Things (IoT); Applications and case studies; Sensor networks},
pubstate = {published},
tppubtype = {inproceedings}
}
Transport Layer Security (TLS) is an established Internet security standard. TLS offers a variety of configuration options that affect resource consumption. For deployments of constrained devices in the Internet of Things (IoT), it is crucial to optimize TLSs resource consumption. This study examines how the TLS cryptographic algorithms, so-called cipher suites, affect an MQTT applications resource consumption. MQTT is a popular protocol for IoT. We construct a model application using the Mosquitto MQTT broker and client library. We measure the consumption of CPU cycles, memory, and network bandwidth with the IANA-recommended TLS 1.2 and TLS 1.3 cipher suites. We test and compare different variants for the key exchange, server authentication, client authentication, and symmetric encryption algorithms, as well as recommended elliptic curves for elliptic curve cryptography (ECC) algorithms. We identify ECDHE key exchange with the x25519 curve and mutual PSK authentication as the best handshake performance. Ed25519 provides the best performance among the certificate authentication options. The effect of choosing a faster symmetric cipher on CPU costs depends on message size. Changing symmetric ciphers does not affect the performance for 100 B messages, but more differences are observed for 10 kB messages. Overall, the findings show that resource consumption can be optimized by choosing the cipher suite and adjusting the length and rate of MQTT messages. Optimized resource consumption enables reliable management of MQTT-based IoT.
