Multi-party applications are becoming popular due to the development of mobile smart devices. In this work, we explore Secure Device Pairing （SDP）, a novel pairing mechanism, which allows users to use smart watches ...Multi-party applications are becoming popular due to the development of mobile smart devices. In this work, we explore Secure Device Pairing （SDP）, a novel pairing mechanism, which allows users to use smart watches to detect the handshake between users, and use the shaking information to create security keys that are highly random. Thus, we perform device pairing without complicated operations. SDP dynamically adjusts the sensor＇s sampling frequency and uses different classifiers at varying stages to save the energy. A multi-level quantization algorithm is used to maximize the mutual information between two communicating entities without information leakage. We evaluate the main modules of SDP with 1800 sets of handshake data. Results show that the recognition accuracy of the handshake detection algorithm is 98.2%, and the power consumption is only 1/3 of that of the single sampling frequency classifier.展开更多
Wearable devices usually work together with smart phones.To ensure only legitimate smart phones can read the data,they must conduct pairing to establish a shared key.Traditional pairing methods require that the pairin...Wearable devices usually work together with smart phones.To ensure only legitimate smart phones can read the data,they must conduct pairing to establish a shared key.Traditional pairing methods require that the pairing devices have a keyboard or screen for user interaction.However,due to the size limitation,keyboards or screens are hard to be installed in the wearable devices.To solve this problem,we propose a novel pairing method by using ambient sound and light.In this new scheme,any pairing request from smart phone will trigger wearable device vibration.Only after users press the confirm key on the device can the pairing process continues.Then pairing devices collect ambient sound and light at the predetermined time and establish a shared key by using the Diffie-Hellman protocol.To protect against potential man-in-the-middle attacks in the key establishment process,an improved interlock protocol with sound and light comparison is conducted to authenticate the key.If both the sound and light collected by the pairing devices are similar enough,the key is accepted.Otherwise,it is rejected.Compared with current context based pairing methods,our scheme does not impose strict synchronization on devices to collect ambient context data.Moreover,our scheme need not collect and exchange contextual information for multiple times to resist offline brute force attacks.The experimental results and security analysis prove the effectiveness of our scheme.展开更多
基金supported in part by the National Natural Science Foundation of China (Nos. 61472219 and 61672372)Shaanxi NSF (No. 2017JM6109)
文摘Multi-party applications are becoming popular due to the development of mobile smart devices. In this work, we explore Secure Device Pairing （SDP）, a novel pairing mechanism, which allows users to use smart watches to detect the handshake between users, and use the shaking information to create security keys that are highly random. Thus, we perform device pairing without complicated operations. SDP dynamically adjusts the sensor＇s sampling frequency and uses different classifiers at varying stages to save the energy. A multi-level quantization algorithm is used to maximize the mutual information between two communicating entities without information leakage. We evaluate the main modules of SDP with 1800 sets of handshake data. Results show that the recognition accuracy of the handshake detection algorithm is 98.2%, and the power consumption is only 1/3 of that of the single sampling frequency classifier.
基金Supported by the National Natural Science Foundation of China(61272451,61572380)
文摘Wearable devices usually work together with smart phones.To ensure only legitimate smart phones can read the data,they must conduct pairing to establish a shared key.Traditional pairing methods require that the pairing devices have a keyboard or screen for user interaction.However,due to the size limitation,keyboards or screens are hard to be installed in the wearable devices.To solve this problem,we propose a novel pairing method by using ambient sound and light.In this new scheme,any pairing request from smart phone will trigger wearable device vibration.Only after users press the confirm key on the device can the pairing process continues.Then pairing devices collect ambient sound and light at the predetermined time and establish a shared key by using the Diffie-Hellman protocol.To protect against potential man-in-the-middle attacks in the key establishment process,an improved interlock protocol with sound and light comparison is conducted to authenticate the key.If both the sound and light collected by the pairing devices are similar enough,the key is accepted.Otherwise,it is rejected.Compared with current context based pairing methods,our scheme does not impose strict synchronization on devices to collect ambient context data.Moreover,our scheme need not collect and exchange contextual information for multiple times to resist offline brute force attacks.The experimental results and security analysis prove the effectiveness of our scheme.
