A Hybrid Data Security System of Internet of Things

Haowei Song, Hai Ning Liang, Lu Liu, Jieming Ma, Xin Huang

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

5 Citations (Scopus)

Abstract

In recent years, there has been a tremendous growth in Internet of Things (IoT) applications and services. These have changed our economic and social activities, strategic infrastructure resources and people's lives on a global Internet connectivity network - they have also changes many people's lifestyles. Their growth has brought also issues about security and privacy. If an IoT system is attacked, there could be data theft and it could go off-line and as such there could be disastrous consequences. This paper analyzes data security and puts forward an architecture, including a triple encryption approach, a kind of failover system, and a shortest job first (SJF) scheduling. It also presents results of a simulation and relative test we have conducted. Finally, a brief discussion that includes the limitations and weaknesses of this framework and the future work are given.

Original languageEnglish
Title of host publication2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages269-273
Number of pages5
ISBN (Electronic)9781728112824
DOIs
Publication statusPublished - 10 May 2019
Event4th IEEE International Conference on Big Data Analytics, ICBDA 2019 - Suzhou, China
Duration: 15 Mar 201918 Mar 2019

Publication series

Name2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019

Conference

Conference4th IEEE International Conference on Big Data Analytics, ICBDA 2019
Country/TerritoryChina
CitySuzhou
Period15/03/1918/03/19

Keywords

  • Internet of Things (IoT)
  • data security
  • encryption
  • failover system
  • shortest job first (SJF)

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