On Secrecy Performance in D-MoSK-Based 3-D Diffusive Molecular Communication System

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS IEEE Transactions on NanoBioscience Pub Date : 2023-10-04 DOI:10.1109/TNB.2023.3321790
Zhen Jia;Lisheng Ma;Shigen Shen;Xiaohong Jiang
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Abstract

This paper studies the secrecy performance in a 3-D diffusive molecular communication system with the general depleted molecule shift keying (D-MoSK) modulation, where a point transmitter Alice transmits through diffusion multiple types of molecules modulation to a legitimate absorbing receiver Bob, suffering the eavesdropping from an absorbing eavesdropper Eve. We first develop a solid theoretical framework to determine the probabilistic distributions for the number of molecules absorbed by Bob and Eve, respectively. Based on the results, we then derive the average symbol error rate (SER) as well as the mutual information of Alice-Bob and Alice-Eve, and further apply the Shannon theory to determine the secrecy capacity of Alice-Bob transmission. We also develop the closed-form results for the optimal detection threshold at Bob to achieve the secrecy capacity, and thus devise a complete algorithm for secrecy capacity maximization. Finally, we provide numerical results to illustrate the secrecy performance in the concerned system.
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基于D-MoSK的三维扩散分子通信系统的保密性能研究。
本文研究了具有一般耗尽分子移位键控(D-MoSK)调制的三维扩散分子通信系统中的保密性能,其中点发射器Alice通过扩散将多种类型的分子调制传输到合法的吸收接收器Bob,遭受吸收窃听者Eve的窃听。我们首先开发了一个坚实的理论框架,以分别确定Bob和Eve吸收的分子数量的概率分布。基于这些结果,我们导出了平均符号错误率(SER)以及Alice-Bob和Alice-Eve的互信息,并进一步应用Shannon理论来确定Alice-Bob传输的保密能力。我们还开发了Bob处最优检测阈值的闭合形式结果,以实现保密能力,从而设计了一个完整的保密能力最大化算法。最后,我们提供了数值结果来说明相关系统中的保密性能。
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来源期刊
IEEE Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
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