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首页> 外文期刊>Biomedizinische Technik >Raspberry Pi implemented with MATLAB simulation and communication of physiological signal-based fast chaff point (RPSC) generation algorithm for WBAN systems
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Raspberry Pi implemented with MATLAB simulation and communication of physiological signal-based fast chaff point (RPSC) generation algorithm for WBAN systems

机译：覆盆子PI采用MATLAB仿真和基于生理信号的快速CHAFF点（RPSC）生成算法的MATLAB模拟和通信

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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.
机译：无线体区域网络（WBAN）在植入心脏除颤器（ICD），神经刺激器等等医疗领域中获得了相当大的意义。身体区域网络与可植入医疗设备（IMD）的信息必须是安全的，并且它们的隐私必须受到保护。在界面处没有保护使攻击者能够控制IMDS。因此，在关键协议计划期间，对无线界面的保护已成为IMD中的强制性。为确保关键协议计划，实现了普遍称为模糊Vault（FV）的最实用的轻量级生物密码系统方案。 FV方案中最具计算的密集型任务是Chaff Point生成过程，用于隐藏保险库内的秘密密钥和有效点。因此，用MATLAB模拟和WBAN的基于生理信号的快速CHAFF点生成（RPSC）算法的MATLAB仿真和通信实现的覆盆子PI。 RPSC算法减少了Chaff Point生成中的候选Chaff点数，减少了整体执行时间。 RPSC算法具有O（n（2））的算法复杂性，这是现有O（n（3））复杂度的重要性。 RPSC算法的加速性能为Clancy的206倍，khalil的130倍，而不是Nguyen算法的93次，用于生成504个Chaff点，在较小的计算持续时间内为0.7秒。 Raspberry PI Pro 3（RPI3）硬件模块被认为是IMD和程序员设备，用于实现提出的WBAN的Chaff Point生成和实时通信模块。

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