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A survey of key pre-distribution schemes based on combinatorial designs for resource-constrained devices in the IoT network
- Source :
- Wireless Networks. 27:3025-3052
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Currently, IoT is being used as a novel tool in many applications. Some applications use the end nodes such as wireless sensor network, RFID and embedded systems referred to as resource-constrained devices. These devices have limitations in computing and communication power, memory capacity and power. One of the approaches to discuss key distribution in these devices is to apply and use key pre-distribution schemes (KPSs) as a lightweight solution. Also, the combinatorial designs application in key pre-distribution has been considered as a suitable method due to the low overhead in the shared key discovery phase between devices. This paper assessed the combinatorial designs used in key pre-distribution, and then, compared these designs using KPSs evaluation metrics. Finally, by tabulating all the considered key pre-distribution methods in a comparison table, it was stated that all of these methods could be used in different applications depending on their strengths.
- Subjects :
- Computer Networks and Communications
business.industry
Computer science
Distributed computing
Key distribution
020302 automobile design & engineering
020206 networking & telecommunications
02 engineering and technology
Pre distribution
Power (physics)
Combinatorial design
0203 mechanical engineering
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Table (database)
Electrical and Electronic Engineering
Internet of Things
business
Wireless sensor network
Information Systems
Subjects
Details
- ISSN :
- 15728196 and 10220038
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Wireless Networks
- Accession number :
- edsair.doi...........1c2b8cb9e8eb7772298edd2f244656d1
- Full Text :
- https://doi.org/10.1007/s11276-021-02629-8