Mutual authentication based on visual cryptography and OCR for secure IoT service

Dana Yang, Inshil Doh, Kijoon Chae

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

1 Scopus citations

Abstract

Recently, various devices providing many services to users have appeared in IoT (Internet of Things). For these services, users as well as devices have to obtain authentication from server system, and they need to authenticate server system, too. In this work, we suggest a mutual authentication between device and server based on visual cryptography. Visual cryptography depends on human eyesight, and it is very simple because no calculation is required for encryption or decryption of the information. We also adopt OCR (Optical Character Recognition) to recognize the information for authentication. OCR plays the role of humans and reads the overlapped images. For evaluation of our proposal, we simulated the authentication mechanism using RaspberryPI II.

Original languageEnglish
Title of host publication2016 6th International Workshop on Computer Science and Engineering, WCSE 2016
PublisherInternational Workshop on Computer Science and Engineering (WCSE)
Pages214-219
Number of pages6
ISBN (Electronic)9789811100086
StatePublished - 2016
Event2016 6th International Workshop on Computer Science and Engineering, WCSE 2016 - Tokyo, Japan
Duration: 17 Jun 201619 Jun 2016

Publication series

Name2016 6th International Workshop on Computer Science and Engineering, WCSE 2016

Conference

Conference2016 6th International Workshop on Computer Science and Engineering, WCSE 2016
Country/TerritoryJapan
CityTokyo
Period17/06/1619/06/16

Bibliographical note

Funding Information:
The work is supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2011788).

Keywords

  • IoT
  • Mutual authentication
  • OCR
  • Visual cryptography

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