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Cloud-aided privacy preserving user authentication and key agreement protocol for internet of things

  • Chenyu Wang
  • , Ding Wang
  • , Haowei Wang
  • , Guoai Xu*
  • , Jing Sun
  • , Huaxiong Wang
  • *Corresponding author for this work
  • Beijing University of Posts and Telecommunications
  • Peking University
  • Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the exponential growth of interconnected devices, Internet of Things has played an indispensable part of our modern life. However, the constraint of the devices greatly limits the development of IoT and has become one of the major bottlenecks for the large-scale deployment of the devices. Cloud computing, as a technique for the analysis and storage of a large amount of heterogeneity data, is a key solution to this. However, the integrating of IoT and cloud computing also brings new security and privacy challenge. Therefore, an authentication mechanism must be provided to verify user’s identity and ensure the data be accessed without authorization. However, we found most of the authentication schemes for IoT do not truly integrate the cloud computing thus are not suitable for IoT. To improve this unsatisfactory condition, we depicted the architecture of the cloud-assisted IoT environment, and for the first time designed a new secure and privacy preserving user authentication scheme for cloud-assisted IoT environment. Furthermore, we compared the proposed scheme with several related schemes from security functions and performance, the result showed the superiority of our scheme.

Original languageEnglish
Title of host publicationSecurity and Privacy in Social Networks and Big Data - 5th International Symposium, SocialSec 2019, Revised Selected Papers
EditorsWeizhi Meng, Steven Furnell
PublisherSpringer
Pages95-109
Number of pages15
ISBN (Print)9789811507571
DOIs
StatePublished - 2019
Externally publishedYes
Event5th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2019 - Copenhagen, Denmark
Duration: 14 Jul 201917 Jul 2019

Publication series

NameCommunications in Computer and Information Science
Volume1095 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference5th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2019
Country/TerritoryDenmark
CityCopenhagen
Period14/07/1917/07/19

Keywords

  • Cloud computing
  • Internet of Things
  • Multi-factor user authentication

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