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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.00889 |
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| _version_ | 1866909125832605696 |
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| author | Orzikulova, Adiba Vasile, Diana A. Kawsar, Fahim Min, Chulhong |
| author_facet | Orzikulova, Adiba Vasile, Diana A. Kawsar, Fahim Min, Chulhong |
| contents | As wearable devices become increasingly miniaturized and powerful, a new opportunity arises for instant and dynamic device-to-device collaboration and human-to-device interaction. However, this progress presents a unique challenge: these minimalist wearables lack inherent mechanisms for real-time authentication, posing significant risks to data privacy and overall security. To address this, we introduce Proteus that realizes an innovative concept of time-bound contextual bio-IDs, which are generated from on-device sensor data and embedded into a common latent space. These bio-IDs act as a time-bound unique user identifier that can be used to identify the wearer in a certain context. Proteus enables dynamic and contextual device collaboration as well as robust human-to-device interaction. Our evaluations demonstrate the effectiveness of our method, particularly in the context of minimalist wearables. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_00889 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Time-bound Contextual Bio-ID Generation for Minimalist Wearables Orzikulova, Adiba Vasile, Diana A. Kawsar, Fahim Min, Chulhong Cryptography and Security Machine Learning Signal Processing As wearable devices become increasingly miniaturized and powerful, a new opportunity arises for instant and dynamic device-to-device collaboration and human-to-device interaction. However, this progress presents a unique challenge: these minimalist wearables lack inherent mechanisms for real-time authentication, posing significant risks to data privacy and overall security. To address this, we introduce Proteus that realizes an innovative concept of time-bound contextual bio-IDs, which are generated from on-device sensor data and embedded into a common latent space. These bio-IDs act as a time-bound unique user identifier that can be used to identify the wearer in a certain context. Proteus enables dynamic and contextual device collaboration as well as robust human-to-device interaction. Our evaluations demonstrate the effectiveness of our method, particularly in the context of minimalist wearables. |
| title | Time-bound Contextual Bio-ID Generation for Minimalist Wearables |
| topic | Cryptography and Security Machine Learning Signal Processing |
| url | https://arxiv.org/abs/2403.00889 |