Wireless Body Area Network (WBAN) has gained considerable significance in medical fields like implantable cardiac defibrillators (ICDs), neuro-stimulators etc. The body area networks information with in the implantable medical devices (IMDs) must be secure and their privacy must be protected. The absence of protection at the interface makes it easy for the attackers to take control of the IMDs. Thus, protection of wireless interface has become mandatory in IMDs during key agreement schemes. To secure the key agreement scheme, the most practical light weight bio-cryptosystem schemes popularly known as fuzzy vault (FV) is implemented. The most computationally intensive task in the FV scheme is the chaff point generation process, used for hiding the secret key and valid point inside the vault. Thus, a Raspberry Pi implemented with MATLAB simulation and communication of physiological signal based fast chaff point generation (RPSC) algorithm for WBAN. RPSC algorithm reduced the number of candidate chaff points in the chaff point generation and reduced the overall execution time. The RPSC algorithm has an algorithm complexity of O(n 2 ), which is a significant over the existing O(n 3 ) complexity. The RPSC algorithm has a speedup performance of 206 times over Clancy’s, 130 times over Khalil’s and 93 times than Nguyen algorithms for the generation of 504 chaff points, within smaller computation duration of 0.7 s. Raspberry Pi pro 3 (RPi3) hardware modules are considered as IMD and programmer devices, are used for implementation of chaff point generation and real-time communication module for proposed WBAN.

中文翻译：

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树莓派用MATLAB仿真和通信实现WBAN系统的基于生理信号的快速箔条点（RPSC）生成算法

无线体域网 (WBAN) 在植入式心脏除颤器 (ICD)、神经刺激器等医疗领域具有重要意义。 植入式医疗设备 (IMD) 中的体域网信息必须安全且隐私必须受到保护. 接口处缺乏保护使得攻击者很容易控制 IMD。因此，在密钥协商方案期间，无线接口的保护已成为 IMD 中的强制性要求。为了确保密钥协商方案的安全，实施了最实用的轻量级生物密码系统方案，俗称模糊保险库 (FV)。FV 方案中计算量最大的任务是箔条点生成过程，用于将密钥和有效点隐藏在保险库内。因此，使用 MATLAB 仿真和基于生理信号的 WBAN 快速箔条点生成 (RPSC) 算法通信实现的 Raspberry Pi。RPSC 算法减少了箔条点生成中候选箔条点的数量，减少了整体执行时间。RPSC 算法的算法复杂度为 O(n 2 )，这大大超过了现有的 O(n 3 ) 复杂度。RPSC 算法在 0.7 s 的较小计算持续时间内生成 504 个箔条点，其加速性能是 Clancy 算法的 206 倍、Khalil 算法的 130 倍和 Nguyen 算法的 93 倍。Raspberry Pi pro 3 (RPi3) 硬件模块被视为 IMD 和编程器设备，用于实现提议的 WBAN 的箔条点生成和实时通信模块。