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i2Key: A Cross-sensor Symmetric Key Generation System Using Inertial Measurements and Inaudible Sound

Lookup NU author(s): Dr Bo WeiORCiD


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© 2022 IEEE.Networked devices, such as wearable devices, laptops, smart home appliances, etc., are ubiquitous nowadays. To secure communication among those devices, symmetric keys are widely used because of their feasibility in resource-constrained networked devices. The ob-servations of sensors from independent devices have been adopted for symmetric key generation. The identical biometrics information or environment interference has been observed by sensors, and their corresponding patterns are used for key generation. Pop-ular signals from networked devices are inertial measurements, sound, wireless signals, etc. The existing sensor-based key gen-eration solutions use the same type of sensors for both devices. Different from the existing solutions, we are the first to propose a cross-sensor symmetric key generation system i2 Key, where two devices collect inertial measurements from a motion sensor and inaudible sound from a microphone, respectively. A new coding framework is designed for general key generation. We also pro-pose an efficient and accurate time synchronisation method for key generation. Additionally, a multi-tier key reconciliation method is suggested to improve key generation performance. By using the proposed architecture, the key generation rate is improved by up to approximately 40% compared with the situation without using it. We also perform security analysis and randomness analysis over the proposed method.

Publication metadata

Author(s): Wei B, Xu W, Li K, Luo C, Zhang J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022

Year of Conference: 2022

Pages: 183-194

Online publication date: 18/07/2022

Acceptance date: 04/05/2022

Date deposited: 29/06/2023

Publisher: Institute of Electrical and Electronics Engineers Inc.


DOI: 10.1109/IPSN54338.2022.00022

Library holdings: Search Newcastle University Library for this item

ISBN: 9781665496247