When Physical Unclonable Function Meets Biometrics Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2012.07916
As the Covid-19 pandemic grips the world, healthcare systems are being reshaped, where the e-health concepts become more likely to be accepted. Wearable devices often carry sensitive information from users which are exposed to security and privacy risks. Moreover, users have always had the concern of being counterfeited between the fabrication process and vendors' storage. Hence, not only securing personal data is becoming a crucial obligation, but also device verification is another challenge. To address biometrics authentication and physically unclonable functions (PUFs) need to be put in place to mitigate the security and privacy of the users. Among biometrics modalities, Electrocardiogram (ECG) based biometric has become popular as it can authenticate patients and monitor the patient's vital signs. However, researchers have recently started to study the vulnerabilities of the ECG biometric systems and tried to address the issues of spoofing. Moreover, most of the wearable is enabled with CPU and memories. Thus, volatile memory-based (NVM) PUF can be easily placed in the device to avoid counterfeit. However, many research challenged the unclonability characteristics of PUFs. Thus, a careful study on these attacks should be sufficient to address the need. In this paper, our aim is to provide a comprehensive study on the state-of-the-art developments papers based on biometrics enabled hardware security.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2012.07916
- https://arxiv.org/pdf/2012.07916
- OA Status
- green
- References
- 43
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3112509878
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3112509878Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2012.07916Digital Object Identifier
- Title
-
When Physical Unclonable Function Meets BiometricsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-14Full publication date if available
- Authors
-
Kavya Dayananda, Nima KarimianList of authors in order
- Landing page
-
https://arxiv.org/abs/2012.07916Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2012.07916Direct 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/2012.07916Direct OA link when available
- Concepts
-
Biometrics, Computer security, Counterfeit, Spoofing attack, Physical unclonable function, Computer science, Authentication (law), Internet privacy, Wearable computer, Wearable technology, Cryptography, Embedded system, Political science, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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43Number of works referenced by this work
- Related works (count)
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(ECG) | 101 |
| abstract_inverted_index.(NVM) | 154 |
| abstract_inverted_index.Among | 97 |
| abstract_inverted_index.PUFs. | 174 |
| abstract_inverted_index.Thus, | 151, 175 |
| abstract_inverted_index.avoid | 164 |
| abstract_inverted_index.based | 102, 205 |
| abstract_inverted_index.being | 10, 46 |
| abstract_inverted_index.carry | 25 |
| abstract_inverted_index.grips | 4 |
| abstract_inverted_index.need. | 188 |
| abstract_inverted_index.often | 24 |
| abstract_inverted_index.place | 87 |
| abstract_inverted_index.study | 124, 178, 199 |
| abstract_inverted_index.these | 180 |
| abstract_inverted_index.tried | 133 |
| abstract_inverted_index.users | 29, 39 |
| abstract_inverted_index.vital | 116 |
| abstract_inverted_index.where | 12 |
| abstract_inverted_index.which | 30 |
| abstract_inverted_index.(PUFs) | 81 |
| abstract_inverted_index.Hence, | 55 |
| abstract_inverted_index.always | 41 |
| abstract_inverted_index.become | 16, 105 |
| abstract_inverted_index.device | 68, 162 |
| abstract_inverted_index.easily | 158 |
| abstract_inverted_index.issues | 137 |
| abstract_inverted_index.likely | 18 |
| abstract_inverted_index.paper, | 191 |
| abstract_inverted_index.papers | 204 |
| abstract_inverted_index.placed | 159 |
| abstract_inverted_index.risks. | 37 |
| abstract_inverted_index.should | 182 |
| abstract_inverted_index.signs. | 117 |
| abstract_inverted_index.users. | 96 |
| abstract_inverted_index.world, | 6 |
| abstract_inverted_index.address | 74, 135, 186 |
| abstract_inverted_index.another | 71 |
| abstract_inverted_index.attacks | 181 |
| abstract_inverted_index.between | 48 |
| abstract_inverted_index.careful | 177 |
| abstract_inverted_index.concern | 44 |
| abstract_inverted_index.crucial | 64 |
| abstract_inverted_index.devices | 23 |
| abstract_inverted_index.enabled | 146, 208 |
| abstract_inverted_index.exposed | 32 |
| abstract_inverted_index.monitor | 113 |
| abstract_inverted_index.popular | 106 |
| abstract_inverted_index.privacy | 36, 93 |
| abstract_inverted_index.process | 51 |
| abstract_inverted_index.provide | 196 |
| abstract_inverted_index.started | 122 |
| abstract_inverted_index.systems | 8, 131 |
| abstract_inverted_index.Covid-19 | 2 |
| abstract_inverted_index.However, | 118, 166 |
| abstract_inverted_index.Wearable | 22 |
| abstract_inverted_index.becoming | 62 |
| abstract_inverted_index.concepts | 15 |
| abstract_inverted_index.e-health | 14 |
| abstract_inverted_index.hardware | 209 |
| abstract_inverted_index.mitigate | 89 |
| abstract_inverted_index.pandemic | 3 |
| abstract_inverted_index.patients | 111 |
| abstract_inverted_index.personal | 59 |
| abstract_inverted_index.recently | 121 |
| abstract_inverted_index.research | 168 |
| abstract_inverted_index.securing | 58 |
| abstract_inverted_index.security | 34, 91 |
| abstract_inverted_index.storage. | 54 |
| abstract_inverted_index.vendors' | 53 |
| abstract_inverted_index.volatile | 152 |
| abstract_inverted_index.wearable | 144 |
| abstract_inverted_index.Moreover, | 38, 140 |
| abstract_inverted_index.accepted. | 21 |
| abstract_inverted_index.biometric | 103, 130 |
| abstract_inverted_index.functions | 80 |
| abstract_inverted_index.memories. | 150 |
| abstract_inverted_index.patient's | 115 |
| abstract_inverted_index.reshaped, | 11 |
| abstract_inverted_index.security. | 210 |
| abstract_inverted_index.sensitive | 26 |
| abstract_inverted_index.spoofing. | 139 |
| abstract_inverted_index.biometrics | 75, 98, 207 |
| abstract_inverted_index.challenge. | 72 |
| abstract_inverted_index.challenged | 169 |
| abstract_inverted_index.healthcare | 7 |
| abstract_inverted_index.physically | 78 |
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| abstract_inverted_index.unclonable | 79 |
| abstract_inverted_index.fabrication | 50 |
| abstract_inverted_index.information | 27 |
| abstract_inverted_index.modalities, | 99 |
| abstract_inverted_index.obligation, | 65 |
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| abstract_inverted_index.authenticate | 110 |
| abstract_inverted_index.counterfeit. | 165 |
| abstract_inverted_index.developments | 203 |
| abstract_inverted_index.memory-based | 153 |
| abstract_inverted_index.verification | 69 |
| abstract_inverted_index.comprehensive | 198 |
| abstract_inverted_index.counterfeited | 47 |
| abstract_inverted_index.unclonability | 171 |
| abstract_inverted_index.authentication | 76 |
| abstract_inverted_index.characteristics | 172 |
| abstract_inverted_index.vulnerabilities | 126 |
| abstract_inverted_index.state-of-the-art | 202 |
| abstract_inverted_index.Electrocardiogram | 100 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7699999809265137 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile |