DRAM-based PUF
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资源简介:
Securing systems with limited resources is crucial for deployment and should not be compromised for other performance metrics like area and throughput. Physically Unclonable Functions (PUFs) emerge as a cost-effective solution for various security applications, such as preventing IC counterfeiting and enabling lightweight authentication. In the realm of memory-based PUFs, the physical variations of available memory systems, such as DRAM or SRAM, are exploited to derive an intrinsic response based on the accessed data row. This study introduces an innovative design of a DRAM-based PUF that utilizes the variations of adjacent DRAM cells to extract a reliable and secure key. The dataset, which is used for validating the proposed design, is generated through Monte Carlo simulations implemented on the Cadence tool. The simulation environment is configured, featuring 11 DRAM devices, each comprising 5K data rows and an 8-bit width. Each DRAM device is associated with a folder containing voltage data collected for each bit, along with the corresponding evaluated response. Additionally, the device folder contains a concatenated 8-bit response.
确保在资源有限的环境中保障系统安全至关重要,不应为面积和吞吐量等性能指标而牺牲。物理不可克隆函数(PUFs)作为各种安全应用的低成本解决方案,例如防止集成电路仿制和实现轻量级认证,应运而生。在基于内存的PUFs领域,通过对可用内存系统(如DRAM或SRAM)的物理差异的利用,根据访问的数据行推导出固有的响应。本研究提出了一种基于DRAM的创新PUF设计,该设计利用相邻DRAM单元的变异性来提取可靠且安全的密钥。用于验证所提出设计的数据集是通过在Cadence工具上实现的蒙特卡洛模拟生成的。模拟环境配置了11个DRAM设备,每个设备包含5K数据行和8位宽度。每个DRAM设备都与一个文件夹关联,其中包含为每个比特收集的电压数据以及相应的评估响应。此外,设备文件夹还包含一个串联的8位响应。
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ieee-dataport.org
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含11个DRAM-PUF设备的模拟数据,每个设备包含8位电压和响应数据,用于验证DRAM-based PUF设计的可靠性和安全性。数据集格式为CSV文件,适用于机器学习和安全领域的研究。
以上内容由遇见数据集搜集并总结生成



