An improved approach to privacy data protection in the body area network

Wei-xing Wang; Liuqin Ye

doi:10.1117/12.2674623

23 May 2023 An improved approach to privacy data protection in the body area network

Wei-xing Wang, Liuqin Ye

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126041Q (2023) https://doi.org/10.1117/12.2674623
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

Wireless Body Area Network (WBAN) is radio frequency-based wireless network technology. It is currently widely used in sports, medical health and other fields. WBAN often transmits the user's body monitoring data, such as heart rate, pulse, blood pressure and other personal privacy data. These sensitive data are bound to face a serious risk of data leakage or malicious tampering. In order to solve the privacy security of user data in WBAN environment, this paper proposes an improved privacy protection strategy. This strategy selects a portion of the region so that the phantom nodes are evenly distributed around the source nodes, and the adjacent packet space has a certain angle, in addition to increasing the diversity of the path from the source node to the base station by selecting the peer node. The simulation results show that the strategy can provide better privacy data protection without adding too many child nodes, and extend the security time.

Citation Download Citation

Wei-xing Wang and Liuqin Ye "An improved approach to privacy data protection in the body area network", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126041Q (23 May 2023); https://doi.org/10.1117/12.2674623

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