Heart Pair: Continously Pairing Heterogeneous Wearables In A Ban With Heartbeat

Nowadays,with the continuous development of wearable technology,the number of devices has exploded.Wearable devices appear more and more in our lives,so each user will appear multiple wearable devices at the same time.After acquiring personal information of these users,these devices will transfer data between each other,and this information is generally personal privacy information,such as heart rate、pace、blood pressure.In the continuous development of artificial intelligence and body area network technology,the pairing needs between these devices will become more and more alternating and strong,between resource sharing,algorithm scheduling,and common authentication and identification.Therefore,it is of great significance to study the matching technology of wearable devices to protect the security of personal information.The traditional device pairing scheme is to input information,but the key generally keeps a fixed value for a period of time and is vulnerable to third-party attacks.Therefore,the academic community has proposed many dynamic key generation methods based on public channels for device pairing,such as gestures、pace、ambient light、ambient sound、vibration and other dynamic key generation methods.However,these methods have some shortcomings.For example,the public channels of ambient light and ambient sound are too dependent on the external environment and too public,and are easily attacked by third parties in the same environment.The common channel of gestures requires users to actively send signals.Some researchers have proposed a pairing method of generating dynamic key devices based on heartbeats,which is a pairing scheme that generally uses IPI(interval of pulse signal waves)as a key.But there are shortcomings that are applicable to the same type of smart devices,generally require implantable devices and are used in relatively static situations.Based on this,this topic proposes the research of continuous pairing technology of heterogeneous wearable devices based on heartbeat monitoring.In addition to the use of heartbeat channels,which have strong privacy;individual differences;continuity and other characteristics,this topic proposes a novel key generation method,which realizes the pairing of different types of devices and devices in different motion states,and builds a hardware platform.The verification system verifies the performance in real scenarios,and at the same time compares with the IPI algorithm key pairing technology.The results show that the technology proposed in this topic is superior to the IPI algorithm in key generation performance,such as bit generation rate,information source entropy,and coding efficiency;it also performs better than the IPI algorithm in NIST’s 15 randomness tests,In the overall performance results of device matching,an error acceptance rate of not higher than 5% and an error rejection rate of not higher than 10% are achieved.