Security Primitives with Emerging Memories
Special Session (Research Track)
Hosted in Virtual Platform
DescriptionMagnetic and Resistive Memories have emerged as a promising choice for embedded memories. Inner properties of such memories (i.e., stochastic behavior and variability, both cycle-to-cycle and device-to-device) make them suitable for the implementation of basic security primitives such Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs). In this talk, we will show how it is possible to exploit intrinsic variability to build robust, unclonable and unpredictable PUFs, and stochasticity to generate randomly distributed unpredictable numbers.