TY - GEN
T1 - i2Key
T2 - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022
AU - Wei, Bo
AU - Xu, Weitao
AU - Li, Kai
AU - Luo, Chengwen
AU - Zhang, Jin
N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
PY - 2022
Y1 - 2022
N2 - 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 observations 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. Popular signals from networked devices are inertial measurements, sound, wireless signals, etc. The existing sensor-based key generation 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.
AB - 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 observations 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. Popular signals from networked devices are inertial measurements, sound, wireless signals, etc. The existing sensor-based key generation 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.
KW - compressed sensing
KW - cross-sensor
KW - inertial measurement units
KW - Key generation
KW - sound
UR - http://www.scopus.com/inward/record.url?scp=85135878724&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85135878724&origin=recordpage
U2 - 10.1109/IPSN54338.2022.00022
DO - 10.1109/IPSN54338.2022.00022
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - Proceedings - ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN
SP - 183
EP - 194
BT - Proceedings - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2022)
PB - IEEE
Y2 - 4 May 2022 through 6 May 2022
ER -