Author profile: Arcenegui Almenara, Javier
Institutional data
Name | Arcenegui Almenara, Javier |
Department | Sin Departamento Específico |
Knowledge area | Sin área de conocimiento |
Professional category | PROYECTOS MINECO |
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Statistics
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No. publications
7
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No. visits
1110
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No. downloads
1101
Publications |
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Article
![]() Non-Fungible Tokens Based on ERC-4519 for the Rental of Smart Homes
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
The rental of houses is a common economic activity. However, there are many inconveniences that arise when renting a ... |
Presentation
![]() Use Case Examples of Ethereum Non-Fungible Tokens Tied to Assets Using ERC-4519
(IEEE, 2023)
Ethereum is a dynamic blockchain that grows every day thanks to a community that creates and decides on various of its ... |
Article
![]() Secure combination of iot and blockchain by physically binding iot devices to smart non-fungible tokens using pufs
(Multidisciplinary Digital Publishing Institute (MDPI), 2021)
Non-fungible tokens (NFTs) are widely used in blockchain to represent unique and non-interchangeable assets. Current NFTs ... |
Presentation
![]() Using physical unclonable functions for internet-of-thing security cameras
(Springer, 2018)
This paper proposes a low-cost solution to develop IoT security cameras. Integrity and confidentiality of the image data ... |
Article
![]() Trusted Cameras on Mobile Devices Based on SRAM Physically Unclonable Functions
(MDPI, 2018)
Nowadays, there is an increasing number of cameras placed on mobile devices connected to the Internet. Since these cameras ... |
Article
![]() A PUF-and biometric-based lightweight hardware solution to increase security at sensor nodes
(Multidisciplinary Digital Publishing Institute (MDPI), 2018)
Security is essential in sensor nodes which acquire and transmit sensitive data. However, the constraints of processing, ... |
Presentation
![]() Demonstrator of a fingerprint recognition algorithm into a low-power microcontroller
(IEEE, 2017)
A demonstrator has been developed to illustrate the performance of a lightweight fingerprint recognition algorithm based ... |