Teenager Health Oriented Data Security and Privacy Protection Research for Smart Wearable Device
Minghui Yang, Junqi Guo, Ziyun Zhao, Tianyou Xu, Ludi Bai · Procedia Computer Science · 2020
In recent years, the fitness problems of adolescents have attracted increasing attention from all walks of life. It has become an irreversible trend to use new technical means to supervise and guide young students’ behaviour. Smart wearable devices have become a better choice because of its simple usage and convenient wearing. But its lightness also brings the shortcoming of being vulnerable to attack. This research proposes a scheme to protect the privacy of smart wearable users. There are two main aspects: (1) Perturb the data collected by smart wearing devices before sending information to prevent third-party servers from leakage of users’ privacy; and a scheme of data reconstruction is proposed using SVD (Singular Value Decomposition) method to decompose eigenvalues; (2) During data publishing, we proposed a personalized k-anonymity publishing scheme based on entropy weight method, which has brilliant adaptability as well as preventing privacy leakage. Experiments show that the proposed method can effectively improve the safety of smart wearable devices, so that adolescents and parents can use it safely.