An enhanced flower pollination algorithm‐based chaff point generation method with hardware implementation in WBAN,International Journal of Communication Systems

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An enhanced flower pollination algorithm‐based chaff point generation method with hardware implementation in WBAN
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-04-29 , DOI: 10.1002/dac.4447
Karthikeyan M. V. ₁ , Martin Leo Manickam J. ₁

Affiliation

In wireless body area networks (WBAN), device authentication and key agreement are the critical issues. In any real‐world cryptographic system, issues like these can be handled by one of the most practical bio‐cryptosystem schemes popularly known as fuzzy vault (FV). The secret key is encoded in a polynomial equation merged with physiological value and then combined with chaff (noise) points forming the FV. The most critical and computational intensive task in the FV is the chaff point generation, that is used to hide the valid point inside the vault pattern. In this paper, we propose an Enhanced Flower Pollination Algorithm based Chaff Point generation method with Hardware (EFPCH) implementation and have been proved to be a computationally fast and feasible algorithm for hardware implementation. The security of the FV depends on the infeasibility of the polynomial reconstruction and also in large number of chaff point. The existing methods for chaff point generation had taken less number of valid points and generate a maximum of 200 chaff points. But in our experimental result, we generated large number of chaff point (1:12) with a considerable amount of valid points over the existing algorithm. This work describes the key agreement model and implementation step required for identifying External programmer attached to the patient pacemaker. However, existing key agreement schemes have too many computational intensive tasks, making it unsuitable for system‐on‐chip (SoC) implementation. In the result of the described work, a practical SoC implementation of the wireless environment in WBAN is experimented. The results show that our proposed model has a more efficient implementation in generating larger chaff points and performs better than other current methods.

中文翻译：

WBAN中基于硬件实现的一种基于花粉授粉算法的增强糠ff点生成方法

在无线体域网（WBAN）中，设备身份验证和密钥协议是关键问题。在任何现实世界的密码系统中，可以通过一种最实用的生物密码系统方案（通常称为模糊保险库（FV））来解决此类问题。密钥被编码为与生理值合并的多项式方程，然后与形成FV的谷壳（噪声）点合并。FV中最关键和计算最密集的任务是糠糠点生成，用于将有效点隐藏在库模式中。在本文中，我们提出了一种基于硬件的Chaff Point生成的增强花授粉算法（EFPCH）实现方法，并已被证明是一种计算快速，可行的硬件实现算法。FV的安全性取决于多项式重构的不可行性，并且还取决于大量的果皮点。现有的糠糠点生成方法仅占用较少的有效点数，最多可生成200糠糠点。但是在我们的实验结果中，与现有算法相比，我们生成了大量的糠糠点（1:12），并且具有相当数量的有效点。这项工作描述了识别与患者起搏器相连的外部编程器所需的关键协议模型和实施步骤。但是，现有的关键协议方案有太多的计算密集型任务，因此不适合片上系统（SoC）的实现。在上述工作的结果中，实验了WBAN中无线环境的实际SoC实现。

更新日期：2020-04-29

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