CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing
Usably secure ad-hoc device pairing fosters connectivity with hardware which is difficult to access (e.g., implanted) and grants convenience for ad-hoc short-term on-off pairing patterns (e.g. shared public domain). Examples are medical devices or fitness equipment. We present CardioID, an approach...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9969605/ |
| _version_ | 1811177629242359808 |
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| author | Si Zuo Stephan Sigg Le Ngu Nguyen Nils Beck Nico Jahne-Raden Marie Cathrine Wolf |
| author_facet | Si Zuo Stephan Sigg Le Ngu Nguyen Nils Beck Nico Jahne-Raden Marie Cathrine Wolf |
| author_sort | Si Zuo |
| collection | DOAJ |
| description | Usably secure ad-hoc device pairing fosters connectivity with hardware which is difficult to access (e.g., implanted) and grants convenience for ad-hoc short-term on-off pairing patterns (e.g. shared public domain). Examples are medical devices or fitness equipment. We present CardioID, an approach to extract features from heart rate variability for secure pairing keys that change with the randomness inherited in heart operation. Our processing chain is compatible with electrocardiogram (ECG, voltage), as well as ballistocardiogram (BCG, acceleration) type signals. Dissimilarities in locally generated sequences are accounted for using fuzzy cryptography exploiting Bose–Chaudhuri–Hocquenghem (BCH) codes. We propose a quantization to derive secure keys for cross BCG-ECG device pairing from heart-rate variability and analyze the performance in (inter- and intra-subject) BCG-to-ECG pairing. A secure communication protocol for Body Area Networks (BAN) is discussed. The attack surface of the protocol is analyzed, and we conduct a video-based attack study. In addition, two case studies with 5 (laboratory) and 20 (controlled in-field) subjects were conducted. |
| first_indexed | 2024-04-11T06:04:30Z |
| format | Article |
| id | doaj.art-a8f9d23115f64acf8d10d28b1e7ec662 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T06:04:30Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a8f9d23115f64acf8d10d28b1e7ec6622022-12-22T04:41:32ZengIEEEIEEE Access2169-35362022-01-011012868212869610.1109/ACCESS.2022.32265039969605CardioID: Secure ECG-BCG Agnostic Interaction-Free Device PairingSi Zuo0https://orcid.org/0000-0002-1418-8919Stephan Sigg1https://orcid.org/0000-0001-6118-3355Le Ngu Nguyen2Nils Beck3https://orcid.org/0000-0002-4373-953XNico Jahne-Raden4Marie Cathrine Wolf5Department of Communications and Networking, Aalto University, Espoo, FinlandDepartment of Communications and Networking, Aalto University, Espoo, FinlandFaculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, FinlandInstitute for Natural Language Processing, University of Stuttgart, Stuttgart, GermanyPeter L. Reichertz Institute, Hannover, GermanyPeter L. Reichertz Institute, Hannover, GermanyUsably secure ad-hoc device pairing fosters connectivity with hardware which is difficult to access (e.g., implanted) and grants convenience for ad-hoc short-term on-off pairing patterns (e.g. shared public domain). Examples are medical devices or fitness equipment. We present CardioID, an approach to extract features from heart rate variability for secure pairing keys that change with the randomness inherited in heart operation. Our processing chain is compatible with electrocardiogram (ECG, voltage), as well as ballistocardiogram (BCG, acceleration) type signals. Dissimilarities in locally generated sequences are accounted for using fuzzy cryptography exploiting Bose–Chaudhuri–Hocquenghem (BCH) codes. We propose a quantization to derive secure keys for cross BCG-ECG device pairing from heart-rate variability and analyze the performance in (inter- and intra-subject) BCG-to-ECG pairing. A secure communication protocol for Body Area Networks (BAN) is discussed. The attack surface of the protocol is analyzed, and we conduct a video-based attack study. In addition, two case studies with 5 (laboratory) and 20 (controlled in-field) subjects were conducted.https://ieeexplore.ieee.org/document/9969605/Ballistocardiogram (BCG)bioinformaticbody area networkdevices pairingelectrocardiogram (ECG)healthcare |
| spellingShingle | Si Zuo Stephan Sigg Le Ngu Nguyen Nils Beck Nico Jahne-Raden Marie Cathrine Wolf CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing IEEE Access Ballistocardiogram (BCG) bioinformatic body area network devices pairing electrocardiogram (ECG) healthcare |
| title | CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing |
| title_full | CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing |
| title_fullStr | CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing |
| title_full_unstemmed | CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing |
| title_short | CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing |
| title_sort | cardioid secure ecg bcg agnostic interaction free device pairing |
| topic | Ballistocardiogram (BCG) bioinformatic body area network devices pairing electrocardiogram (ECG) healthcare |
| url | https://ieeexplore.ieee.org/document/9969605/ |
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