Detailed Information

Cited 0 time in webofscience Cited 14 time in scopus
Metadata Downloads

Dynamic Group Authentication and Key Exchange Scheme Based on Threshold Secret Sharing for IoT Smart Metering Environmentsopen access

Authors
Lee, Dae-HwiLee, Im-Yeong
Issue Date
Oct-2018
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
IoT; smart metering environments; group authentication; key exchange; threshold secret sharing
Citation
Sensors, v.18, no.10
Journal Title
Sensors
Volume
18
Number
10
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/5612
DOI
10.3390/s18103534
ISSN
1424-8220
1424-3210
Abstract
The Internet of Things (IoT) environment is constantly evolving. Many IoT services have emerged, improving living conditions. Smart homes were among the first developments, and smart buildings, smart factories, and smart cities are attracting increasing attention. Smart cities represent the ultimate convergence of the IoT, the Cloud, big data, and mobile technology. Smart homes, buildings, and factories create smart cities. In addition, the IoT finds applications in traffic control, public safety, and medical services, permitting group-based communication. As the scale of service grows, the number of things (devices) constituting the service also increases. However, security vulnerabilities arise in group-based communication environments. A device may require authentication when entering a gateway; to secure environments with large numbers of devices (such as those featuring IoT smart metering), the gateways bear heavy loads. Therefore, efficient authentication of group leaders and devices is essential. Here, we develop a dynamic group authentication and key exchange scheme for group-based IoT smart metering environments which enables efficient communication among secure IoT services. Our group authentication scheme increases the computational efficiency of the group leader and the participating devices, based on a threshold secret sharing technique.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Computer Software Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Im Yeong photo

Lee, Im Yeong
College of Software Convergence (Department of Computer Software Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE