Physically Unclonable Functions (PUFs) are potential security blocks to generate unique and more secure keys in low-cost cryptographic applications. Dynamic random-access memory (DRAM) has been proposed as one of the promising candidates for generating robust keys. Unfortunately, the existing techniques of generating device signatures from DRAM is very slow, destructive (destroy the current data), and disruptive to system operation. In this paper, we propose precharge latency-based PUF (PreLatPUF) that exploits DRAM precharge latency variations to generate signatures. The proposed PreLatPUF is fast, robust, least disruptive, and non-destructive. The silicon results from commercially available DDR3 chips from different manufacturers show that the proposed key generation technique is at least ∼ 1, 192X faster than the existing approaches, while reliably reproducing the key in extreme operating conditions. INDEX TERMS DRAM-PUF, DRAM latency-based PUF, robust key generation.

True random number generator (TRNG) plays a vital role in a variety of security applications and protocols. The security and privacy of an asset rely on the encryption, which solely depends on the quality of random numbers. Memory chips are widely used for generating random numbers because of their prevalence in modern electronic systems. Unfortunately, existing Dynamic Random-access Memory (DRAM)-based TRNGs produce random numbers with either limited entropy or poor throughput. In this paper, we propose a DRAM-latency based TRNG that generates high-quality random numbers. The silicon results from Samsung and Micron DDR3 DRAM modules show that our proposed DRAM-latency based TRNG is robust (against different operating conditions and environmental variations) and acceptably fast.Index Terms-Random number, TRNG, DRAM-based security primitives, DRAM-based TRNG, Memory-based security primitives, Memory-based TRNG, hardware-based security primitives.

No abstract

No abstract

No abstract

No abstract

No abstract

No abstract