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Author:

Gong, B. (Gong, B..) | Zheng, G. (Zheng, G..) | Waqas, M. (Waqas, M..) | Tu, S. (Tu, S..) | Chen, S. (Chen, S..)

Indexed by:

EI Scopus SCIE

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 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 paper, we propose a lightweight cross-domain mutual identity authentication (LCDMA) for mobile IoT environment. LCDMA uses 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. IEEE

Keyword:

Physical unclonable function cross-domain authentication random oracle model Servers Security Internet of Things key agreement Authentication mutual identity authentication Protocols Mobile nodes Internet of things

Author Community:

  • [ 1 ] [Gong B.]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zheng G.]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Waqas M.]Department of Computer Engineering, Faculty of Information Technology, University of Bahrain, Bahrain
  • [ 4 ] [Tu S.]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Chen S.]School of Electronics and Computer Science, University of Southampton, Southampton, U.K

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Source :

IEEE Internet of Things Journal

ISSN: 2327-4662

Year: 2023

Issue: 14

Volume: 10

Page: 1-1

1 0 . 6 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 37

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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