• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Lwamo, N.M.R. (Lwamo, N.M.R..) [1] | Zhu, L. (Zhu, L..) [2] | Xu, C. (Xu, C..) [3] | Sharif, K. (Sharif, K..) [4] | Liu, X. (Liu, X..) [5] | Zhang, C. (Zhang, C..) [6]

Indexed by:

Scopus

Abstract:

The rapid increase in user base and technological penetration has enabled the use of a wide range of devices and applications. The services are rendered to these devices from single-server or highly distributed server environments, irrespective of their location. As the information exchanged between servers and clients is private, numerous forms of attacks can be launched to compromise it. To ensure the security, privacy, and availability of the services, different authentication schemes have been proposed for both single-server and multi-server environments. The primary performance objective of such schemes is to prevent most (if not all) attacks, with minimal computational costs at the server and user ends. To address this challenge, this paper presents a secure user authentication scheme with anonymity (SUAA) for single-server and multi-server environments. It works on 3-factor authentication, involving passwords, smart cards, and biometric data. We use symmetric and asymmetric encryption for single-server and multi-server architectures respectively, to reduce the computational costs. Through a comprehensive security analysis, we show that the proposed scheme is reliable through mutual authentication, and is resilient to attacks addressed by state of the art solutions. Time cost analysis also shows less time required to complete the authentication process. © 2018 Elsevier Inc.

Keyword:

Authentication; BAN logic; Multi-server; Single server; Smart card

Community:

  • [ 1 ] [Lwamo, N.M.R.]Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
  • [ 2 ] [Zhu, L.]Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
  • [ 3 ] [Xu, C.]Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
  • [ 4 ] [Sharif, K.]Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
  • [ 5 ] [Liu, X.]School of Information Systems, Singapore Management University178902, Singapore
  • [ 6 ] [Liu, X.]College of Mathematics and Computer Sciences, Fuzhou University, China
  • [ 7 ] [Zhang, C.]Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

Reprint 's Address:

  • [Xu, C.]Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application, School of Computer Science and Technology, Beijing Institute of TechnologyChina

Show more details

Related Keywords:

Related Article:

Source :

Information Sciences

ISSN: 0020-0255

Year: 2019

Volume: 477

Page: 369-385

5 . 9 1

JCR@2019

0 . 0 0 0

JCR@2023

ESI HC Threshold:162

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 48

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:494/11057172
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1