Enhancement in LoraWAN’s Security With Post-Quantum Key Encapsulation Method

Ensuring data privacy and integrity is imperative in wireless connection. Sensitive information needs to be transmitted through long-distance areas in many scenarios as healthcare, agricultural production and smart cities. Not only security, but also performance in this particular type of communication is not a trivial match. The LoRaWAN protocol is capable of transmitting data between IoT as end devices to application servers where the data can be analyzed and stored. The protocol offers a significant security standard and a recognized performance in long-range communication at low cost. However, the advances in Quantum Computing also bring threats to the current state of cryptographic algorithms, possibly compromising communication privacy. LoRaWAN’s security is based on AES-128 cryptographic algorithm, which is not safe to quantum computers. Thus, this work proposes an enhancement in LoraWAN’s security protocol adding the Kyber KEM-1024 algorithm to reinforce the protocol against quantum-computing attacks. The implementation successfully simulated the communication between an end device and an application server performing the post-quantum algorithm KEM-1024. Despite the results for time of execution can be improved, the proposal presented a safe communication resistant to quantum-computing attacks.

Authors

Institutions

Publication Details

Published
2024-11-10
DOI
https://doi.org/10.1109/wf-iot62078.2024.10811133
Citations
2
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
0.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancement in LoraWAN’s Security With Post-Quantum Key Encapsulation Method

Fabiano Hessel, Gabriel Rossi Figlarz
2 citations
Computer Science and Engineering
0.69
article

Enhancement in LoraWAN’s Security With Post-Quantum Key Encapsulation Method

Fabiano Hessel, Gabriel Rossi Figlarz
article en
2 citations

Abstract

Ensuring data privacy and integrity is imperative in wireless connection. Sensitive information needs to be transmitted through long-distance areas in many scenarios as healthcare, agricultural production and smart cities. Not only security, but also performance in this particular type of communication is not a trivial match. The LoRaWAN protocol is capable of transmitting data between IoT as end devices to application servers where the data can be analyzed and stored. The protocol offers a significant security standard and a recognized performance in long-range communication at low cost. However, the advances in Quantum Computing also bring threats to the current state of cryptographic algorithms, possibly compromising communication privacy. LoRaWAN’s security is based on AES-128 cryptographic algorithm, which is not safe to quantum computers. Thus, this work proposes an enhancement in LoraWAN’s security protocol adding the Kyber KEM-1024 algorithm to reinforce the protocol against quantum-computing attacks. The implementation successfully simulated the communication between an end device and an application server performing the post-quantum algorithm KEM-1024. Despite the results for time of execution can be improved, the proposal presented a safe communication resistant to quantum-computing attacks.

Pontifícia Universidade Católica do Rio Grande do Sul (BR)
Openalex Percentile: Top 22%
Computer Science and Engineering
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancement in LoraWAN’s Security With Post-Quantum Key Encapsulation Method — Fabiano Hessel, Gabriel Rossi Figlarz · (2024) | TGRS Research Map | TGRS