In-DRAM Signature Generation Using Simultaneous Multiple-Row Activation: An Experimental Study of Off-The-Shelf DRAM Chips
For hardware security researchers and practitioners, this provides a new method to generate physical unclonable function responses from off-the-shelf DRAM, but the approach is incremental as it builds on known DRAM variability phenomena.
This work demonstrates that unique, repeatable, and device-specific signatures can be generated from commercial DRAM chips using simultaneous multiple-row activation (SiMRA), achieving average intra-Jaccard indices up to 94.86% and inter-Jaccard indices as low as 2.37% across 112 DDR4 chips. The proposed SiMRA-PUF also reduces evaluation latency by 5.75% compared to the state-of-the-art DRAM-based PUF.
We experimentally demonstrate that it is possible to generate unique, repeatable, and device-specific signatures suitable for use as Physical Unclonable Function (PUF) responses in commercial off-the-shelf (COTS) DRAM chips by leveraging simultaneous multiple-row activation (SiMRA). Based on a rigorous experimental characterization of 112 modern DDR4 DRAM chips (from 10 modules), we introduce SiMRA-PUF, the first DRAM-based PUF that uses SiMRA-generated signatures as PUF responses. We analyze SiMRA-PUF in terms of reliability, uniqueness, and evaluation latency for varying numbers of simultaneously activated DRAM rows (i.e., 2, 4, 8, 16, and 32), DRAM chip density & die revision, and evaluate how temperature affects the similarity of SiMRA-generated responses. Among our 8 key experimental observations, we highlight two major results. First, SiMRA-PUF provides average intra-Jaccard indices of 89.02%, 89.81%, 93.03%, 94.06%, and 94.86%, and average inter-Jaccard indices of 3.98%, 2.37%, 3.44%, 2.92%, and 3.24% for 2-, 4-, 8-, 16-, and 32-row activations, respectively, showing that SiMRA-generated signatures are both repeatable within a device and unique across devices. Second, 2-row activation-based SiMRA-PUF provides 5.75% lower evaluation latency than the state-of-the-art DRAM-based PUF. We open-source our infrastructure and datasets at https://github.com/CMU-SAFARI/SiMRA-PUF.