Securing IoT Face Recognition: Using Steganography Integration for Enhanced Security

A growing variety of sensors have been added to the Internet of Things due to the growing demand for everything to be linked. Visual sensors usually have high rates of transmission and large data volumes, which sets them apart from previously used sensors that have low transmission speeds and small data volumes. Vision sensors are commonly utilized in face recognition applications such as security and healthcare. To address applications like face recognition and security that demand a high number of visual sensors as well as image processing and analysis, this article proposes combining edge- based technology with cloud computing.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10994164
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Securing IoT Face Recognition: Using Steganography Integration for Enhanced Security

Daksh Rawat, Aditya Saini, Deeksha Verma, Manika Manwal et al.
Face recognition and analysis
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Securing IoT Face Recognition: Using Steganography Integration for Enhanced Security

Daksh Rawat, Aditya Saini, Deeksha Verma, Manika Manwal, Purushottam Das, Prashant Kumar Mavi
article en

Abstract

A growing variety of sensors have been added to the Internet of Things due to the growing demand for everything to be linked. Visual sensors usually have high rates of transmission and large data volumes, which sets them apart from previously used sensors that have low transmission speeds and small data volumes. Vision sensors are commonly utilized in face recognition applications such as security and healthcare. To address applications like face recognition and security that demand a high number of visual sensors as well as image processing and analysis, this article proposes combining edge- based technology with cloud computing.

Graphic Era University (IN)
Openalex Percentile: Top 70%
Face recognition and analysis
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