Detailed Information

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

An Energy-Efficient Access Control Scheme for Wireless Sensor Networks based on Elliptic Curve Cryptography

Authors
Le, Xuan HungLee, SungyoungButun, IsmailKhalid, MuradSankar, RaviKim, Miso (Hyoung-Il)Han, ManhyungLee, Young-KooLee, Heejo
Issue Date
Dec-2009
Publisher
KOREAN INST COMMUNICATIONS SCIENCES (K I C S)
Keywords
Elliptic curve cryptography (ECC); public-key cryptography; user access control; wireless sensor networks (WSN)
Citation
JOURNAL OF COMMUNICATIONS AND NETWORKS, v.11, no.6, pp.599 - 606
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF COMMUNICATIONS AND NETWORKS
Volume
11
Number
6
Start Page
599
End Page
606
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/118842
DOI
10.1109/JCN.2009.6388413
ISSN
1229-2370
Abstract
For many mission-critical related wireless sensor network applications such as military and homeland security, user's access restriction is necessary to be enforced by access control mechanisms for different access rights. Public key-based access control schemes are more attractive than symmetric-key based approaches due to high scalability, low memory requirement, easy key-addition/revocation for a new node, and no key pre-distribution requirement. Although Wang et al. recently introduced a promising access control scheme based on elliptic curve cryptography (ECC), it is still burdensome for sensors and has several security limitations (it does not provide mutual authentication and is strictly vulnerable to denial-of-service (DoS) attacks). This paper presents an energy-efficient access control scheme based on ECC to overcome these problems and more importantly to provide dominant energy-efficiency. Through analysis and simulation based evaluations, we show that the proposed scheme overcomes the security problems and has far better energy-efficiency compared to current scheme proposed by Wang et al.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > 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 Lee, Hee jo photo

Lee, Hee jo
Department of Computer Science and Engineering
Read more

Altmetrics

Total Views & Downloads

BROWSE