Detailed Information

Cited 0 time in webofscience Cited 37 time in scopus
Metadata Downloads

Analysis of Lightweight Encryption Scheme for Fog-to-Things Communicationopen access

Authors
Diro, Abebe AbeshuChilamkurti, NaveenNam, Yunyoung
Issue Date
2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Cybersecurity; Internet of things; fog computing; elliptic curve cryptography; lightweight cryptography
Citation
IEEE Access, v.6, pp 26820 - 26830
Pages
11
Journal Title
IEEE Access
Volume
6
Start Page
26820
End Page
26830
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/6868
DOI
10.1109/ACCESS.2018.2822822
ISSN
2169-3536
Abstract
The growing concerns in cybersecurity is preventing unknowns which evolve from time to time. Internet of Things (IoT) is one of the emerging fields that have been applied for smart cities and industries. The promises of IoTs could be confronted with the growth in the number and sophistication of cyberattacks. The extension of digital world into physical environment adds new attack surfaces on the existing security threats of traditional Internet. The major challenge brought about by physical connectivity of IoTs is to implement distributed security mechanisms for resource constrain of IoT devices. As an emerging architecture supporting IoT applications, fog computing can be considered to solve the resource and distribution issues in securing fog-to-things communication. Security functions and services, such as cryptography, could be offloaded to fog nodes to reduce computational and storage burdens on IoT devices. The distribution of fog nodes can also solve the scalability of cloud by reducing central processing and communications. On the other hand, lightweight cryptographic functions, such as elliptic curve cryptography, have been proved to be suitable for embedded systems. In this paper, we have analyzed security challenges in terms of cybersecurity principles and proposed a novel encryption scheme for fog-to-things communication.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Computer Science and Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Nam, Yun young photo

Nam, Yun young
College of Engineering (Department of Computer Science and Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE