Biometrics-based Internet of Things and Big data design framework

Kenneth Li-minn Ang; Kah Phooi Seng; Kenneth Li-minn Ang; Kah Phooi Seng

doi:10.3934/mbe.2021226

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 4: 4461-4476. doi: 10.3934/mbe.2021226

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Research article Special Issues

Biometrics-based Internet of Things and Big data design framework

Kenneth Li-minn Ang ^{1
,
,},
Kah Phooi Seng ²

1.
School of Science and Engineering, University of Sunshine Coast, Petrie, QLD 4502, Australia
2.
School of Engineering and Information Technology, UNSW Canberra, ACT 2612, Australia

Received: 13 January 2021 Accepted: 22 April 2021 Published: 24 May 2021

Application Specific Internet of Things (ASIoTs) has recently been proposed to address specific requirements for IoT. The objective of this paper is to serve as a framework for the design of ASIoTs using biometrics as the application. This paper provides comprehensive discussions for an ASIoT architecture considering the requirements for biometrics-based security, multimedia content and Big data applications. A comprehensive architecture for Biometrics-based IoT (BiometricIoT) and Big data applications needs to address three challenges: 1) IoT devices are hardware-constrained and cannot afford resource-demanding cryptographic protocols; 2) Biometrics devices introduce multimedia data content due to different biometric traits; and 3) The rapid growth of biometrics-based IoT devices and content creates large amounts of data for computational processing. The proposed BiometricIoT architecture consists of seven layers which have been designed to handle the challenges for biometrics applications and decision making. The latter part of the paper gives discussions for design factors for the BiometricIoT from four perspectives: 1) parallel divide-and-conquer (D&C) computation; 2) computational complexity; 3) device security; and 4) algorithm efficacies. Experimental results are given to validate the effectiveness of the D&C approach. The paper motivates the further research towards the research and development of ASIoTs for biometrics applications.
- Internet-of-Things,
- Application specific,
- biometric,
- Big data,
- parallel computation
Citation: Kenneth Li-minn Ang, Kah Phooi Seng. Biometrics-based Internet of Things and Big data design framework[J]. Mathematical Biosciences and Engineering, 2021, 18(4): 4461-4476. doi: 10.3934/mbe.2021226

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Abstract

Application Specific Internet of Things (ASIoTs) has recently been proposed to address specific requirements for IoT. The objective of this paper is to serve as a framework for the design of ASIoTs using biometrics as the application. This paper provides comprehensive discussions for an ASIoT architecture considering the requirements for biometrics-based security, multimedia content and Big data applications. A comprehensive architecture for Biometrics-based IoT (BiometricIoT) and Big data applications needs to address three challenges: 1) IoT devices are hardware-constrained and cannot afford resource-demanding cryptographic protocols; 2) Biometrics devices introduce multimedia data content due to different biometric traits; and 3) The rapid growth of biometrics-based IoT devices and content creates large amounts of data for computational processing. The proposed BiometricIoT architecture consists of seven layers which have been designed to handle the challenges for biometrics applications and decision making. The latter part of the paper gives discussions for design factors for the BiometricIoT from four perspectives: 1) parallel divide-and-conquer (D&C) computation; 2) computational complexity; 3) device security; and 4) algorithm efficacies. Experimental results are given to validate the effectiveness of the D&C approach. The paper motivates the further research towards the research and development of ASIoTs for biometrics applications.

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