A Novel IoT Sensor Authentication Using HaLo Extraction Method and\n Memory Chip Variability Article Swipe
YOU?
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· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2109.01742
In this paper, we propose flash-based hardware security primitives as a\nviable solution to meet the security challenges of the IoT and specifically\ntelehealth markets. We have created a novel solution, called the High and Low\n(HaLo) method, that generates physical unclonable function (PUF) signatures\nbased on process variations within flash memory in order to uniquely identify\nand authenticate remote sensors. The HaLo method consumes 60% less power than\nconventional authentication schemes, has an average latency of only 39ms for\nsignature generation, and can be readily implemented through firmware on ONFI\n2.2 compliant off-the-shelf NAND flash memory chips. The HaLo method generates\n512 bit signatures with an average error rate of 5.9 * 10^-4, while also\nadapting for flash chip aging. Due to its low latency, low error rate, and high\npower efficiency, the HaLo method could help progress the field of remote\npatient monitoring by accurately and efficiently authenticating remote health\nsensors.\n
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2109.01742
- https://arxiv.org/pdf/2109.01742
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4286682788
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4286682788Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2109.01742Digital Object Identifier
- Title
-
A Novel IoT Sensor Authentication Using HaLo Extraction Method and\n Memory Chip VariabilityWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-09-03Full publication date if available
- Authors
-
Holden Gordon, Thomas Lyp, Calvin Kimbro, Fatemeh TehranipoorList of authors in order
- Landing page
-
https://arxiv.org/abs/2109.01742Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2109.01742Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2109.01742Direct OA link when available
- Concepts
-
Firmware, Computer science, Embedded system, Latency (audio), Authentication (law), Internet of Things, Computer hardware, Computer security, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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