Armanasco, Matthew (2022) Cardiac Biometric Authentication Using Channel State Information. [USQ Project]
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Abstract
Owing to the pervasion of high-speed Wi-Fi signals in modern society, there has been a recent interest in utilising these signals for more than simply transferring information. By utilising a parameter known as Channel State Information (CSI), information about the physical environment in which a signal propagates can be obtained. This may be used to infer detail about the humans present in that environment. CSI measured between a standard, commodity hardware transmitter-receiver Wi-Fi communications link can provide highly accurate measurement of human characteristics. This project utilised CSI for human biometric authentication, measuring heart rhythm characteristics to identify a user.
Currently available human biometric authentication techniques include fingerprint scanning, retinal scanning, and facial recognition. The proposed system could be autonomous (requiring no user input or action), could be almost impossible to deceive, and requires no specialised hardware, only readily available Wi-Fi devices. Similar research has investigated the use of CSI to authenticate users based on respiration rhythm and gait, but these characteristics are easily replicable and they require action from the user. Research has shown that the human heart rhythm is highly unique to an individual, and thus this project fulfilled a research gap by investigating heart rhythm authentication. It was found that the system can accurately measure a human heart rhythm rapidly (in tests of 10 seconds or less), using a standard wireless home router Access Point (AP) and desktop PC. Users were required only to sit in between the signal path of the router and the PC for the duration of the test. Furthermore, it was found that authentication using a correlation algorithm is possible using these measurements, presenting a correct authentication rate of approximately 67%. It is believed that this accuracy can be improved with directional antennas, or by operation in ad-hoc mode (i.e. device-device, not device-AP).
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| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -) |
| Supervisors: | Leis, John |
| Qualification: | Bachelor of Engineering (Honours) (Electrical and Electronic) / Bachelor of Science (Physical Sciences) |
| Date Deposited: | 20 Jun 2023 01:35 |
| Last Modified: | 20 Jun 2023 01:36 |
| Uncontrolled Keywords: | Channel State Information (CSI); human biometric authentication |
| URI: | https://sear.unisq.edu.au/id/eprint/51893 |
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