A Critical Analysis of ECG-Based Key Distribution for Securing Wearable and Implantable Medical Devices
Article
Zheng, Guanglou, Shankaran, Rajan, Yang Wencheng, Valli, Craig, Qiao, Li, Orgun, Mehmet A. and Mukhopadhyay, Subhas Chandra. 2019. "A Critical Analysis of ECG-Based Key Distribution for Securing Wearable and Implantable Medical Devices." IEEE Sensors Journal. 19 (3), pp. 1186-1198. https://doi.org/10.1109/JSEN.2018.2879929
| Article Title | A Critical Analysis of ECG-Based Key Distribution for Securing Wearable and Implantable Medical Devices |
|---|---|
| ERA Journal ID | 4437 |
| Article Category | Article |
| Authors | Zheng, Guanglou, Shankaran, Rajan, Yang Wencheng, Valli, Craig, Qiao, Li, Orgun, Mehmet A. and Mukhopadhyay, Subhas Chandra |
| Journal Title | IEEE Sensors Journal |
| Journal Citation | 19 (3), pp. 1186-1198 |
| Article Number | 8529277 |
| Number of Pages | 13 |
| Year | 2019 |
| Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
| Place of Publication | United States |
| ISSN | 1530-437X |
| 1558-1748 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/JSEN.2018.2879929 |
| Web Address (URL) | https://ieeexplore.ieee.org/document/8529277 |
| Abstract | Wearable and implantable medical devices (WIMDs) perform critical health monitoring and therapeutic functions. However, current WIMD products lack security safeguards to protect patients from fatal cyber attacks. In the recent past, electrocardiogram (ECG) signals-based security techniques have been widely explored to secure such devices by using two cryptographic primitives, the fuzzy commitment and the fuzzy vault, respectively. Nonetheless, differences, as well as similarities between these two primitives, have not been well investigated, making it difficult to decide which one would be appropriate for a particular setting. In this paper, we perform a critical analysis on both primitives and discuss their merits and drawbacks in the context of the ECG-based key distribution. We analyze the critical challenges within each primitive-based key distribution technique, such as binary sequence generation and polynomial computations. Experimental results show that the technique based on the fuzzy commitment has a better false acceptance rate due to the randomness of ECG binary sequences. On the other hand, the fuzzy vault based scheme can achieve an acceptable false reject rate (5%) with less cost to the WIMDs. Future research is suggested to enhance the precision of ECG signal processing, to improve the efficacy of binary sequence generation process as well as to suggest ways to reduce polynomial computations. |
| Keywords | body sensor networks; electrocardiography (ECG); fuzzy commitment; fuzzy vault; implantable medical device (IMD); key distribution; Network security; wireless security |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 460403. Data security and protection |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Edith Cowan University |
| Macquarie University | |
| University of New South Wales |
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