LoRa-LiSK: a lightweight shared secret key generation scheme for LoRa Networks
File(s)
Author(s)
Junejo, Aisha Kanwal
Benkhelifa, Fatma
Wong, Boon
McCann, Julie A
Type
Journal Article
Abstract
Physical layer security (PLS) schemes use the randomness of the channel parameters, namely, channel state information (CSI) and received signal strength indicator (RSSI), to generate the secret keys. There has been limited work in PLS schemes in long-range (LoRa) wide area networks (Lo- RaWANs), hindering their widespread application. Limitations observed in existing studies include the requirement of having a high correlation between channel parameter measurements and the evaluation in either fully indoor or outdoor environments. The real-world wireless sensor networks (WSNs) and LoRa use cases might not meet both requirements, thus making the current PLS schemes inappropriate for these systems. This paper proposes LoRA-LiSK, a practical and efficient shared secret key generation scheme for LoRa networks to address the limitations of existing PLS schemes. Our proposed LoRa-LiSK scheme consists of several preprocessing techniques (timestamp matching, two sample Kolmogorov Smirnov tests, and a Savitzky- Golay filter), multi-level quantization, information reconciliation using Bose-Chaudhuri-Hocquenghem (BCH) codes, and finally, privacy amplification using secure hash algorithm SHA-2. The LoRa-LiSK scheme is extensively evaluated on real WSN/IoT devices in practical application scenarios: 1) indoor to outdoor and 2) long range static and mobile outdoor links. It outperforms existing schemes by generating keys with channel parameter measurements of low correlation values (0:2 to 0:6) while still achieving high key generation rates and low key disagreement rates (10%–20%). The scheme updates a key in one hour approximately using an application profile with a high transmission rate compared to three hours reported by existing works while still respecting the duty cycle regulation. It also incurs less communication overhead compared to the existing works.
Date Issued
2022-03-15
Date Acceptance
2021-07-31
Citation
IEEE Internet of Things Journal, 2022, 9 (6), pp.4110-4124
ISSN
2327-4662
Publisher
Institute of Electrical and Electronics Engineers
Start Page
4110
End Page
4124
Journal / Book Title
IEEE Internet of Things Journal
Volume
9
Issue
6
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Identifier
https://ieeexplore.ieee.org/document/9508382
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Wireless sensor networks
Logic gates
Correlation
Wireless communication
Internet of Things
Communication system security
Received signal strength indicator
Key generation
long-range wide-area network (LoRaWAN)
low-power wide-area network (LPWAN)
security
wireless sensor networks (WSNs)
0805 Distributed Computing
1005 Communications Technologies
Publication Status
Published
Date Publish Online
2021-08-04