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DTSTAMP:20260730T152640Z
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UID:dac_DAC 2026_sess306_WIP3168@linklings.com
SUMMARY:Late Breaking Results: Encoding-in-Memory via Generating True Rand
 om One-time Password
DESCRIPTION:Ranyang Zhou and Gamana Aragonda (New Jersey Institute of Tech
 nology), Abeer Almalky (Binghamton University (SUNY)), Filip Roth Tronnes-
 Christensen (New Jersey Institute of Technology), Adnan Siraj Rakin (Bingh
 amton University), and Shaahin Angizi (New Jersey Institute of Technology)
 \n\nTrue Random Number Generators (TRNGs) are essential for hardware secur
 ity, yet existing DRAM-based designs primarily extract entropy into extern
 al buffers for cryptographic use, increasing exposure to leakage and profi
 ling attacks. This work introduces Encoding-In-Memory TRNG (EIM-TRNG), a D
 RAM-based framework that leverages RowHammer-induced charge leakage to gen
 erate true random one-time entropy directly within commodity DDR4 memory. 
 By driving selected cells into metastable states, intrinsic thermal noise 
 and process variability produce inherently unpredictable bit outcomes with
 out requiring hardware modification or protocol changes. Unlike prior appr
 oaches that export random bits, EIM-TRNG confines entropy generation and a
 pplication inside memory, reducing attack surfaces and eliminating the nee
 d for persistent key storage. Experimental characterization of real DDR4 m
 odules demonstrates robust randomness behavior and practical deployability
 , transforming a reliability vulnerability into a hardware-efficient secur
 ity primitive.\n\nTrack: Student\n\n
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