Gait-key: a gait-based shared secret key generation protocol for wearable devices

Xu, Weitao, Javali, Chitra, Revadigar, Girish, Luo, Chengwen, Bergmann, Neil and Hu, Wen (2017) Gait-key: a gait-based shared secret key generation protocol for wearable devices. ACM Transactions on Sensor Networks, 13 1: . doi:10.1145/3023954

Author Xu, Weitao
Javali, Chitra
Revadigar, Girish
Luo, Chengwen
Bergmann, Neil
Hu, Wen
Title Gait-key: a gait-based shared secret key generation protocol for wearable devices
Journal name ACM Transactions on Sensor Networks   Check publisher's open access policy
ISSN 1550-4867
Publication date 2017-02-01
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1145/3023954
Open Access Status Not yet assessed
Volume 13
Issue 1
Total pages 27
Place of publication New York, NY, United States
Publisher A C M Special Interest Group
Language eng
Abstract Recent years have witnessed a remarkable growth in the number of smart wearable devices. For many of these devices, an important security issue is to establish an authenticated communication channel between legitimate devices to protect the subsequent communications. Due to the wireless nature of the communication and the extreme resource constraints of sensor devices, providing secure, efficient, and user-friendly device pairing is a challenging task. Traditional solutions for device pairing mostly depend on key predistribution, which is unsuitable for wearable devices in many ways. In this article, we design Gait-Key, a shared secret key generation scheme that allows two legitimate devices to establish a common cryptographic key by exploiting users' walking characteristics (gait). The intuition is that the sensors on different locations on the same body experience similar accelerometer signals when the user is walking. However, one main challenge is that the accelerometer also captures motion signals produced by other body parts (e.g., swinging arms). We address this issue by using the blind source separation technique to extract the informative signal produced by the unique gait patterns. Our experimental results show that Gait-Key can generate a common 128-bit key for two legitimate devices with 98.3% probability. To demonstrate the feasibility, the proposed key generation scheme is implemented on modern smartphones. The evaluation results show that the proposed scheme can run in real time on modern mobile devices and incurs low system overhead.
Keyword Device pairing
IMU sensors
Secret key generation
Source separation
Wearable devices
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
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School of Information Technology and Electrical Engineering Publications
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