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A Dynamic Encryption Interface Based on a Multimodal Visuotactile Sensor
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AI
DOI：10.1109/JSEN.2024.3427343.png)
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摘要
En 中文
Biometric authentication and encryption are essential tools for protecting user data security in the big data era. However, there is an urgent need to create a more secure and portable biometric encryption approach because the majority of current biometric characteristics are vulnerable to replication or forgery. Here, we proposed a novel multimodal visuotactile sensor as the tactile encryption device based on touch dynamics features, which captures the dynamic variations in force, depth, and particle velocity. The above three features serve as the continuously updated temporal-spatial keys that are inputted into every encryption round of a symmetric cryptography. This device has successfully implemented encryption for electronic paintings and serves as a wearable interface for authentication and remote control with an accuracy of 92.5%. Unlike traditional methods, the proposed tactile encryption method is implicit because multimodal tactile information is an inherent attribute tightly linked with the visuotactile sensor. Besides, this method uses only lightweight hardware, avoiding issues related to cross-platform timeliness and portability, and holds the potential for seamless integration into the existing Internet-of-Things (IoTs) ecosystems.
Keyword:
Encryption
Sensors
Force
Biometrics (access control)
Skin
Light emitting diodes
Tactile sensors
human-machine interaction
multimodal sensing
multisensory integration
tactile sensors
期刊
IF:
4.5
论文数:
2.2W
被引数:
7.3W
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引用论文
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SCIENTIFIC REPORTS
OAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and ForceGelSight: 用于估计几何形状和力的高分辨率机器人触觉传感器SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous AuthenticationTouchalytics: 关于触摸屏输入作为连续身份验证的行为生物特征的适用性
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