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Securing CNN Model and Biometric Template using Blockchain

  • Akhil Goel
  • , Akshay Agarwal
  • , Mayank Vatsa
  • , Richa Singh
  • , Nalini Ratha

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

30 Scopus citations

Abstract

Blockchain has emerged as a leading technology that ensures security in a distributed framework. Recently, it has been shown that blockchain can be used to convert traditional blocks of any deep learning models into secure systems. In this research, we model a trained biometric recognition system in an architecture which leverages the blockchain technology to provide fault tolerant access in a distributed environment. The advantage of the proposed approach is that tampering in one particular component alerts the whole system and helps in easy identification of 'any' possible alteration. Experimentally, with different biometric modalities, we have shown that the proposed approach provides security to both deep learning model and the biometric template.

Original languageEnglish
Title of host publication2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems, BTAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728115221
DOIs
StatePublished - Sep 2019
Event10th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2019 - Tampa, United States
Duration: Sep 23 2019Sep 26 2019

Publication series

Name2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems, BTAS 2019

Conference

Conference10th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2019
Country/TerritoryUnited States
CityTampa
Period09/23/1909/26/19

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