Progressive-Observation Physical-Layer Fingerprinting for Efficient Open-Set Ethernet Authentication
Physical-layer fingerprinting (PLF) has emerged as a promising authentication approach for Internet of Things devices. H
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← 返回所有主题Physical-layer fingerprinting (PLF) has emerged as a promising authentication approach for Internet of Things devices. H
Compact electroencephalography (EEG) decoders enable embedded brain--computer interfaces (BCIs), but compression can alt
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients
We propose an agentic artificial intelligence (AI)-driven cross-modal semantic video steganography communication (SemVid
A watermark verifier may hold many modes, i.e., secret keys, and a document may mix spans of different modes with unwate
Generative models now synthesise video that is hard to distinguish from genuine footage, and learned detectors that key
Bilinear Compressive Security (BCS) is a lightweight encryption scheme that combines compressed sensing with a fresh ran
This paper presents AutoSec-RAN, a specification-grounded large language model (LLM) framework for automated security tr
Open Radio Access Networks (O-RAN) empower operators with choice and customization through their disaggregated and inter
Physical layer (PHY) information hiding refers to the concealment of secrets within PHY waveforms without compromising t
Secure transmission of electrocardiogram (ECG) signals remains a major challenge in telecardiology. While traditional ma
Federated learning lets a UAV fleet train a shared GPS spoofing detector without raw receiver data leaving any aircraft,
Learning-based semantic communication is vulnerable to adversarial perturbations introduced before semantic encoding or
For a battery-powered UAV base station, every gram and watt devoted to RAN-compute competes with flight-duration margin.
该论文是一篇聚焦移动设备(尤其是智能手机)GNSS 欺骗问题的综述。研究背景是:现代智能手机的绝大多数日常功能都依赖卫星导航定位,而其内置 GNSS 接收机因接收的卫星信号功率极低、民用信号结构与频点公开,天然容易受到人为射频干扰攻击。作者
本文研究的是电子投票机(EVM)在物理侧信道层面的选民—选票关联(voter-ballot linking)风险,作者以巴西电子投票系统为案例,构造了一个由两名攻击者协同完成的电磁侧信道攻击场景。攻击模型设定为:攻击者 Eve 能够进入投票
该论文研究面向部署的模型压缩是否会改变脑机接口(BCI)中 EEG 解码器的对抗脆弱性,这一问题在资源受限的可穿戴/边缘 BCI 场景中尚未有明确结论。作者在 BCI Competition IV-2a 数据集上,对 32 位浮点(FP32
本文研究的是电磁侧信道分析中的一个前置环节:目标系统显示帧刷新率的估计。在电磁侧信道攻击流程里,只有先确定显示器(或其它周期性数字电路)的帧刷新率,分析者才能定位出携带信息的"泄漏谐波频率",后续的采集与解调才有意义,因此帧率估计是整个分析
本文研究图信号处理中的一个核心隐私问题:当分析者只能观测到图滤波器(graph filter)的输出时,图移位算子(GSO,即邻接矩阵、拉普拉斯矩阵这类刻画图拓扑的算子)本身能获得多强的差分隐私(DP)保护。传统做法是对 GSO 本身或其滤
该论文研究巴西电子投票机(UEB,Urna Eletrônica Brasileira)面临的电磁侧信道攻击(即 TEMPEST 攻击)对投票保密性的威胁。TEMPEST 攻击的核心原理是:设备视频信号在传输与显示过程中会产生非预期的电磁辐