Physical-layer Security in Visible Light Communications: Fundamental Theories, Key Techniques, and Future Challenges
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摘要: 与网络加密技术不同,可见光通信(VLC)的物理层安全(PLS)作为一种新型安全传输技术备受关注。由于存在显著差异,传统射频无线通信的PLS技术并不能直接运用到VLC中。近年来,国内外学者对VLC的PLS技术进行了研究。遗憾的是,VLC的PLS技术所涉及的基础理论、关键技术以及未来挑战尚缺乏系统性地梳理。基于此,建立了VLC的PLS系统模型,构建了包括瞬时性能指标、统计性能指标和渐近性能指标的性能评估综合理论体系,进一步讨论了安全波束成形技术、人工辅助技术、物理区域防护技术、安全编码技术、安全分集技术等各种PLS性能提升关键技术,并结合当前研究的局限性对未来工作进行了展望。Abstract:
Significance Due to the broadcast nature of optical signals, information security represents a critical research direction in visible light communication (VLC). Conventional encryption techniques address network security issues at the upper layers of the protocol stack through access control, cryptographic protection, and end-to-end encryption. However, their security relies on the assumption that eavesdroppers possess limited computational capabilities, an assumption that currently faces significant challenges. In recent years, physical layer security (PLS) has emerged as a novel information security paradigm and has attracted considerable attention from researchers worldwide. PLS exploits the randomness, heterogeneity, and distinctiveness between the main channel and the eavesdropping channel to achieve secure information transmission at the physical layer. To date, extensive research achievements have been made regarding PLS techniques in conventional radio frequency wireless communications (RFWC). Nevertheless, due to substantial differences in frequency bands, transmitted signals, power representations, and channel characteristics, PLS research results from RFWC systems cannot be directly applied to VLC. Although scholars worldwide have conducted research on VLC PLS technology, the foundational theories, key techniques, and future challenges involved in VLC PLS still lack a systematic review. To bridge this gap, this paper presents a comprehensive survey of VLC PLS technology. Progress To evaluate and enhance system performance, a classic VLC PLS system model—comprising the received signal model, the input constraint model, and the channel gain model—is initially established. A comprehensive theoretical framework for performance evaluation is then developed, encompassing instantaneous performance metrics, statistical performance metrics, and asymptotic performance metrics. Specifically, to characterize instantaneous performance, existing works on instantaneous secrecy capacity and instantaneous secrecy rate across different scenarios are summarized. As statistical performance metrics, average secrecy capacity, average secrecy rate, secrecy outage probability, probability of strictly positive secrecy capacity, and interception probability are analyzed. To demonstrate asymptotic performance, secrecy diversity order and secrecy degrees of freedom are derived. Furthermore, to enhance the PLS performance, advanced technologies, including secure beamforming, artificial noise, physical region protection, secure coding, and secure diversity, are summarized. Prospects Despite existing research achievements, numerous challenges remain in VLC PLS. This paper identifies four critical challenges: (i) Accurate PLS performance limit: Deriving exact expression of secrecy capacity under VLC's unique physical constraints remains challenging. (ii) Incomplete evaluation framework: Some key metrics widely used in RFWC have not been investigated in VLC, and the construction of a comprehensive VLC PLS performance evaluation framework remains unresolved. (iii) Limitations of existing methods: Conventional PLS performance enhancement methods typically adopt a “modeling-optimization-verification” separated research paradigm, often falling into a vicious cycle of “inaccurate modeling-suboptimal solutions-limited performance gains”. Therefore, it is imperative to integrate novel technologies (such as deep learning, reinforcement learning, and digital twins) to construct a data-model dual-driven framework for VLC PLS performance enhancement. (iv) Hardware platform gap: The absence of dedicated hardware platforms featuring adversarial topologies and real-time processing capabilities significantly impedes the practical deployment of VLC PLS technologies. Therefore, addressing these challenges is essential for transitioning VLC PLS from theoretical advances to commercial applications. Conclusions The broadcast nature of optical signals renders VLC systems vulnerable to eavesdropping attacks. This paper presents a comprehensive survey of PLS in VLC, covering system models, performance metrics (instantaneous, statistical, and asymptotic), and key performance enhancement technologies including secure beamforming, artificial noise, physical region protection, secure coding, and secure diversity. Despite significant progress, challenges remain in establishing accurate performance bounds, complete evaluation frameworks, novel enhancement techniques, and practical hardware implementations. By exploiting channel disparities at the physical layer without relying on complex encryption, PLS represents a paradigm shift in security assurance, paving the way for next-generation secure and reliable VLC networks. -
图 5 文献[21]所得的瞬时保密容量结果
表 1 VLC瞬时保密容量界的研究工作
典型文献 系统场景 求解方法 所得保密容量界 [21] SISO VLC 变分法、熵幂不等式和保密容量的对偶表达式 下界:(7)、(8)、(19)、(20);上界:(16)、(26) [22] 水到空气跨介质VLC 文献[21]所得结果 下界:(22);上界:(23) [23] 车辆VLC 不等式放缩、文献[6]所得结果 下界:(8)、(10);上界:(12)、(13) [24] 干扰机和智能反射面辅助的VLC 文献[21]所得结果、熵幂不等式、变分法 下界:(14)、(15)、(17) [25] 相关噪声下的VLC 变分法、保密容量对偶表达式、最优输入分布逃逸到无穷远处 下界:(14)、(16);上界:(21)、(31) [26] MISO VLC 不等式放缩、文献[6]所得结果 下界:(9)、(10);上界:(11) [27] 中继辅助的VLC 文献[26]的结果 下界:(12b);上界:(12a) 表 2 VLC瞬时保密速率的研究工作
表 3 具有随机位置终端的安全VLC研究工作
表 4 VLC安全波束成形的研究工作
表 5 VLC人工辅助技术的研究工作
表 6 VLC物理区域防护的研究工作
分类 典型文献 系统场景 保护区 [39] 由多个位置随机的发射机、一个典型合法用户和多个潜在的窃听者构成的VLC系统 [43,60] 由一个固定发射机、一个服从均匀分布的合法用户和一个服从均匀分布的窃听者构成的VLC系统 [61] 由一个源节点、一个中继节点、一个随机移动的合法用户和多个服从均匀分布的窃听者构成的电力线通信/
VLC混合网络安全通信区 [62] 由八个LED发射机(其中4个发送有用信号,4个发送入侵信号)和一个接收机构成的VLC系统 [63] 由多个发射机和多个接收机构成的VLC系统 不安全区 [21] 由一个发射机、一个合法用户和一个窃听者构成的VLC系统 [64] 由多个发射机和一个接收机构成的VLC系统 警戒区 \ VLC领域暂无相关工作 -
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