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.
Authors
- Daksh Rawat
- Aditya Saini
- Deeksha Verma (ORCID: https://orcid.org/0000-0003-1833-7202)
- Manika Manwal
- Purushottam Das (ORCID: https://orcid.org/0000-0001-8302-5489)
- Prashant Kumar Mavi
Institutions
- Graphic Era University (IN)
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