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A logistic mapping-based encryption scheme for Wireless Body Area Networks

机译：基于物流映射的无线体积网络加密方案

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摘要

In recent years, data security becomes a critical issue restricting the wider acceptance of Internet of Things (IoT) devices and Cyber-physical systems since they have limited hardware resources and power supply while high data security protection requires relatively large hardware resources and power supply utilization. This contradiction is particularly prominent in the field of Wireless Body Area Networks (WBANs) which is a segment of the IoT field. WBANs are dedicated to transmit and process biomedical data collected from human beings, any kind of tampering or hacking may cause severe consequences to users. However, the limited computing ability and battery supply of biomedical sensors attached or implanted in the users restrict the security protection strength of the data in WBANs. In this paper, a quantized Logistic mapping-based stream encryption scheme for WBANs is proposed. Meanwhile, Power spectral entropy (PSD) and Peak-to-average Power Ratio (PAPR) analysis of the quantized chaotic sequences have been performed to evaluate the chaotic characteristic among different quantization precision to resolve the ineffectiveness of Lyapunov factor in quantized systems. This encryption scheme utilizes chaotic systems with different quantization precision based on the security requirement of every individual communication, which leads to higher hardware and power efficiency. Finally, the proposed encryption scheme is implemented with VHDL and synthesized using SMIC 60 CMOS technology. The evaluation results illustrate that the proposed encryption scheme has the advantages of high-security performance and high-efficiency hardware resources utilization.
机译：近年来，数据安全成为限制事物互联网（IOT）设备和网络物理系统的更广泛接受的关键问题，因为它们具有有限的硬件资源和电源，而高数据安全保护需要相对大的硬件资源和电源利用率。这种矛盾在无线体区域网络（WBANS）领域尤其突出，这是IOT领域的一段。 WBANS致力于传输和处理从人类收集的生物医学数据，任何类型的篡改或黑客都可能对用户造成严重后果。然而，在用户附加或植入的生物医学传感器的有限计算能力和电池供应限制了WBAN中数据的安全保护强度。在本文中，提出了一种用于WBANS的量化基于物流映射的流加密方案。同时，已经进行了功率谱熵（PSD）和量化混沌序列的峰值平均功率比（PAPR）分析以评估不同量化精度的混沌特性，以解决Lyapunov因子在量化系统中的无效性。该加密方案基于每一个通信的安全要求，利用具有不同量化精度的混沌系统，这导致了更高的硬件和功率效率。最后，所提出的加密方案是用VHDL实现的，并使用SMIC 60 CMOS技术合成。评估结果表明，所提出的加密方案具有高安全性性能和高效硬件资源利用的优点。

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  • 来源
    《Future generation computer systems》 |2020年第9期|57-67|共11页
  • 作者

    Junchao Wang; Kaining Han; Shengwen Fan; Ying Zhang; Honghao Tan; Gwanggil Jeon; Yu Pang; Jinzhao Lin;

  • 作者单位

    Department of Biomedical Engineering Shantou University Shantou Guandong China;

    Department of Biomedical Engineering Shantou University Shantou Guandong China;

    Department of Biomedical Engineering Shantou University Shantou Guandong China;

    Department of Biomedical Engineering Shantou University Shantou Guandong China;

    Department of Biomedical Engineering Shantou University Shantou Guandong China;

    Incheon National University Incheon Republic of Korea;

    Chongqing University of Posts and Telecommunications Chongqing China;

    Chongqing University of Posts and Telecommunications Chongqing China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Chaotic; Encryption; Wireless Body Area Network;

    机译：混乱的;加密;无线体积网络;

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