FPHammer：一种基于DRAM指纹识别的设备识别框架
FPHammer: A Device Identification Framework based on DRAM Fingerprinting
AI总结：
FPHammer利用DRAM行锤击技术生成高稳定性物理指纹，实现长期设备跟踪，即使修改软件参数或重装系统也能准确识别设备。
摘要：
设备指纹识别技术根据设备的硬件特征提取指纹以识别设备。设备指纹识别的主要目标是准确且唯一地识别设备，这要求生成的设备指纹具有良好的稳定性，以实现对目标设备的长期跟踪。然而，现有的一些指纹识别技术生成的指纹不够稳定或频繁变化，导致无法长期跟踪目标设备。在本文中，我们提出了FPHammer，一种新颖的基于DRAM的指纹识别技术。我们的技术生成的设备指纹具有高稳定性，可用于长期跟踪设备。我们利用Rowhammer技术反复快速访问DRAM中的一行，以在其相邻行中引发位翻转。然后，我们根据收集到的位翻转的位置构建设备的物理指纹。物理指纹的唯一性和可靠性评估结果表明，它可以用于区分具有相同硬件和软件配置的设备。设备识别的实验结果表明，我们的创新技术产生的物理指纹本质上与整个设备相关联，而不仅仅是DRAM模块。即使设备修改了软件级参数（如MAC地址和IP地址）甚至重新安装操作系统，我们也能准确识别目标设备。这表明FPHammer可以生成不受软件层参数影响的稳定指纹。
英文摘要：
The device fingerprinting technique extracts fingerprints based on the hardware characteristics of the device to identify the device. The primary goal of device fingerprinting is to accurately and uniquely identify a device, which requires the generated device fingerprints to have good stability to achieve long-term tracking of the target device. However, the fingerprints generated by some existing fingerprinting technologies are not stable enough or change frequently, making it impossible to track the target device for a long time. In this paper, we present FPHammer, a novel DRAM-based fingerprinting technique. The device fingerprint generated by our technique has high stability and can be used to track the device for a long time. We leverage the Rowhammer technique to repeatedly and quickly access a row in DRAM to get bit flips in its adjacent row. We then construct a physical fingerprint of the device based on the locations of the collected bit flips. The evaluation results of the uniqueness and reliability of the physical fingerprint show that it can be used to distinguish devices with the same hardware and software configuration. The experimental results on device identification demonstrate that the physical fingerprints engendered by our innovative technique are inherently linked to the entirety of the device rather than just the DRAM module. Even if the device modifies software-level parameters such as MAC address and IP address or even reinstalls the operating system, we can accurately identify the target device. This demonstrates that FPHammer can generate stable fingerprints that are not affected by software layer parameters.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
