Iris Recognition Based Data Security for Secure Transmission Over Internet of Things Network

Alkubra Nusaiba Hassan; Dr. R. P. Singh

doi:10.55524/ijircst.2022.10.4.25

Abstract

The biometric traits of any human being such as fingerprint, tongue prints, face recognition, Retina Scan, Iris recognition, etc. are unique and cannot be replicated or fabricated using modern technologically advanced processes. These unique traits are used to identify individuals for grating access to sensitive data over the cloud. In this paper, we propose a biometric authentication system based on Iris recognition to allow user identity-based data to be pushed onto the cloud for global access if the user Iris image is authenticated with the database. The real-time Iris scanner captures the Iris image and the same is imported to the MATLAB workspace for feature extraction and matching. Upon successful matching, the data is transmitted to the ThingSpeak Internet of Things (IoT) analytics platform. The IoT framework is a massive network of physical devices sharing data according to set protocols. Most IOT-enabled devices lack security protocols. Thus, biometric authentication in general and iris recognition in particular finds a perfect fit for securing data over an IoT framework.

Keywords

Iris recognition, Data Security, Internet of Things Security, IoT Security Framework, ThingSpeak IoT Platform, Secure Transmission.

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Cites this article as

[Alkubra Nusaiba Hassan, Dr. R. P. Singh (2022), Iris Recognition Based Data Security for Secure Transmission Over Internet of Things Network, International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-10, Issue-4, Page No-208-212], (ISSN 2347 - 5552). www.ijircst.org

Corresponding Author

Alkubra Nusaiba Hassan

M.Tech Scholar, Electronics and Communication Engineering, RIMT University, Punjab, India

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