A Morphable Physically Unclonable Function and True Random Number Generator using a Commercial Magnetic Memory
Mohammad Nasim Imtiaz Khan, Chak Yuen Cheng, Sung Hao Lin, Abdullah Ash Saki, Swaroop Ghosh · 2020
In this work, a morphable security primitive using commercial magnetic memory is proposed which can be utilized as a Physically Unclonable Function (PUF) and as a True Random Number Generator (TRNG) by manipulating the write time and the number of write pulses respectively. The intra-HD, inter-HD, energy, bandwidth and area of the proposed PUF is found to be 0, 46.25%, 0.14pJ/bit, 0.34Gbit/s and$\mathbf{0.385}\mu\mathbf{m}^{\mathbf{2}}/\mathbf{bit}$(including peripherals) respectively. The proposed TRNG provides all possible outcomes with a standard deviation of 0.0062, correlation coefficient of 0.05 and an entropy of 0.95. The energy, bandwidth and area of the proposed TRNG is found to be 0.41pJ/bit, 0.12Gbit/s and$\mathbf{0.769}\mu\mathbf{m}^{\mathbf{2}}/\mathbf{bit}$(including peripherals). The proposed TRNG has also been tested with NIST test suite.