Biometrics Application on Raspberry Pi for The Internet of Things Article Swipe
Dibyahash Bordoloi
,
Surendra Kumar Shukla
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.29121/web/v18i5/76
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.29121/web/v18i5/76
As the field of information and communications technology (ICT) has developed, information security has emerged as an essential subfield to ensure users' privacy and security.In addition, this paper details how biometrics can leverage the cloud's boundless computation power and striking properties of versatility, extensibility, and cost reduction to lessen the burden on budgets caused by the high prices of the biometrics system's needs for various computational resources (like processing power or storage systems) and boost the efficiency of biometrics system operations (i.e.biometric matching).To make a low-cost biometric system, this project uses a Raspberry Pi.The Raspberry Pi (RPi) is a little computer about the width of a credit card that can handle many of the same functions as a full-sized PC.As a remote registration centre, it plays an important role in this study.Microcontroller and cloud computing have opened up a new research frontier in the Internet of Things (IoT) sector (IoT).A novel authentication tokens Web of Things technology is offered to enhance security.When sending biometric features first from RPi client to the cloud, they are encrypted using cryptographic techniques like RSA and enhanced AES-256.When it comes to authentication, nothing beats the convenience and security of a cloud-based biometric solution hosted in Microsoft's Azure cloud.This paper therefore delves into the following topics: Upgraded AES-256 in A round architecture and variable S-box generation, cloud-based biometrics, Raspberry Pi as an inexpensive Iot system, and the emerging Internet of Things are all examples of recent developments.Integrity checks are very important.For the purposes of this work, we resort to biometric techniques for authentication.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.29121/web/v18i5/76
- https://doi.org/10.29121/web/v18i5/76
- OA Status
- gold
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- 1
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- OpenAlex ID
- https://openalex.org/W4313047140
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4313047140Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.29121/web/v18i5/76Digital Object Identifier
- Title
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Biometrics Application on Raspberry Pi for The Internet of ThingsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-01Full publication date if available
- Authors
-
Dibyahash Bordoloi, Surendra Kumar ShuklaList of authors in order
- Landing page
-
https://doi.org/10.29121/web/v18i5/76Publisher landing page
- PDF URL
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https://doi.org/10.29121/web/v18i5/76Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.29121/web/v18i5/76Direct OA link when available
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Raspberry pi, Biometrics, Computer science, Internet privacy, The Internet, Internet of Things, Computer security, World Wide WebTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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