The University of Southampton
University of Southampton Institutional Repository

LCDMA: lightweight cross-domain mutual identity authentication scheme for internet of things

LCDMA: lightweight cross-domain mutual identity authentication scheme for internet of things
LCDMA: lightweight cross-domain mutual identity authentication scheme for internet of things

With the widespread popularity of mobile terminals in the Internet of Things (IoT), the demand for cross-domain access of mobile terminals between different regions has also increased significantly. The nature of wireless communication media makes mobile terminals vulnerable to security threats in cross-domain access. Identity authentication is a prerequisite for secure data transmission in the cross-domain, and it is also the first step to guarantee the credibility of data sources. Most existing authentication schemes are based on bilinear pairing or public-key encryption and decryption with high computation overhead, which are not suitable for the resource-limited mobile IoT terminals. Moreover, these schemes have some security drawbacks and cannot meet the security requirements of cross-domain access. In this article, we propose a lightweight cross-domain mutual identity authentication (LCDMA) for the mobile IoT environment. LCDMA uses a symmetric polynomial instead of high-complexity bilinear pairing in the traditional schemes. We theoretically analyze the security performance under the random oracle model. Our results show that LCDMA not only resists common attacks but also preserves secure traceability while guaranteeing anonymity. Performance evaluation further demonstrates that our scheme has better performance in terms of computation and communication overhead, compared with other existing representative schemes.

authentication, cross-domain authentication, internet of things, key agreement, mobile nodes, mutual identity authentication, physical unclonable function, protocols, random oracle model, security, servers, Internet of Things (IoT), Cross-domain authentication
2327-4662
12590-12602
Gong, Bei
dd699a78-c0f9-498d-87d4-03f66274f316
Zheng, Guiping
5fc1890b-a315-49e0-8cc2-ca8ecd6ebdde
Waqas, Muhammad
28f978b5-2da0-4060-aa7c-d5cadc1a48e1
Tu, Shanshan
ef946f84-9863-4438-a847-0171915b0651
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Gong, Bei
dd699a78-c0f9-498d-87d4-03f66274f316
Zheng, Guiping
5fc1890b-a315-49e0-8cc2-ca8ecd6ebdde
Waqas, Muhammad
28f978b5-2da0-4060-aa7c-d5cadc1a48e1
Tu, Shanshan
ef946f84-9863-4438-a847-0171915b0651
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Gong, Bei, Zheng, Guiping, Waqas, Muhammad, Tu, Shanshan and Chen, Sheng (2023) LCDMA: lightweight cross-domain mutual identity authentication scheme for internet of things. IEEE Internet of Things Journal, 10 (14), 12590-12602. (doi:10.1109/JIOT.2023.3252051).

Record type: Article

Abstract

With the widespread popularity of mobile terminals in the Internet of Things (IoT), the demand for cross-domain access of mobile terminals between different regions has also increased significantly. The nature of wireless communication media makes mobile terminals vulnerable to security threats in cross-domain access. Identity authentication is a prerequisite for secure data transmission in the cross-domain, and it is also the first step to guarantee the credibility of data sources. Most existing authentication schemes are based on bilinear pairing or public-key encryption and decryption with high computation overhead, which are not suitable for the resource-limited mobile IoT terminals. Moreover, these schemes have some security drawbacks and cannot meet the security requirements of cross-domain access. In this article, we propose a lightweight cross-domain mutual identity authentication (LCDMA) for the mobile IoT environment. LCDMA uses a symmetric polynomial instead of high-complexity bilinear pairing in the traditional schemes. We theoretically analyze the security performance under the random oracle model. Our results show that LCDMA not only resists common attacks but also preserves secure traceability while guaranteeing anonymity. Performance evaluation further demonstrates that our scheme has better performance in terms of computation and communication overhead, compared with other existing representative schemes.

Text
IoTJ-LCDMA - Accepted Manuscript
Download (1MB)
Text
IEEEIoTJ2023-July - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 1 March 2023
e-pub ahead of print date: 3 March 2023
Published date: 15 July 2023
Additional Information: Funding Information: This work was supported in part by the National Key Research and Development Program of China under Grant 2019YFB2102303, and in part by the National Natural Science Foundation of China under Grant 61971014 and Grant 11675199. Publisher Copyright: © 2014 IEEE.
Keywords: authentication, cross-domain authentication, internet of things, key agreement, mobile nodes, mutual identity authentication, physical unclonable function, protocols, random oracle model, security, servers, Internet of Things (IoT), Cross-domain authentication

Identifiers

Local EPrints ID: 475932
URI: http://eprints.soton.ac.uk/id/eprint/475932
ISSN: 2327-4662
PURE UUID: 54e0c459-0f3e-481e-bb46-f93bf90f1c00

Catalogue record

Date deposited: 31 Mar 2023 16:37
Last modified: 17 Mar 2024 01:09

Export record

Altmetrics

Contributors

Author: Bei Gong
Author: Guiping Zheng
Author: Muhammad Waqas
Author: Shanshan Tu
Author: Sheng Chen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×