利用光投影特性破解隔离屏幕内容，实现非接触侧信道攻击
Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens
- 基于物理规律的辐射传输建模与跨尺度重建结合
- 在四种场景下实现高保真图像还原且抗光照干扰
- 适合安全研究者与硬件攻防方向从业者参考
非接触式电子屏幕内容泄露构成重大安全威胁，侧信道攻击是主要途径。本文提出一种光学投影侧信道新范式，应对两大核心难题：(i) 投影映射的近奇异雅可比谱破坏赫尔姆霍兹稳定性，使反演对扰动极度敏感；(ii) 光传输中的不可逆压缩抹除全局语义线索，加剧重建模糊性。通过利用漫反射形成的被动散斑模式，提出的辐照度鲁棒辐射反演网络（IR4Net）融合可学习优化器中的物理正则化辐照度近似（PRIrr-Approximation），并采用轮廓到细节的跨尺度重建机制抑制噪声传播。此外，不可逆性约束语义重投影（ICSR）模块通过上下文驱动的语义映射恢复丢失的全局结构。在四个场景类别上评估，IR4Net 在保真度上超越现有神经方法，同时保持对光照扰动的鲁棒性。
原文摘要 · Abstract (English)
Noncontact exfiltration of electronic screen content poses a security challenge, with side-channel incursions as the principal vector. We introduce an optical projection side-channel paradigm that confronts two core instabilities: (i) the near-singular Jacobian spectrum of projection mapping breaches Hadamard stability, rendering inversion hypersensitive to perturbations; (ii) irreversible compression in light transport obliterates global semantic cues, magnifying reconstruction ambiguity. Exploiting passive speckle patterns formed by diffuse reflection, our Irradiance Robust Radiometric Inversion Network (IR4Net) fuses a Physically Regularized Irradiance Approximation (PRIrr-Approximation), which embeds the radiative transfer equation in a learnable optimizer, with a contour-to-detail cross-scale reconstruction mechanism that arrests noise propagation. Moreover, an Irreversibility Constrained Semantic Reprojection (ICSR) module reinstates lost global structure through context-driven semantic mapping. Evaluated across four scene categories, IR4Net achieves fidelity beyond competing neural approaches while retaining resilience to illumination perturbations.
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