SSTRNG: self starved feedback SRAM based true random number generator using quantum cellular automata

Abstract

The information are need to modulate using irreproducible and unpredictable digital bit stream to get a secure digital communication systems. Hence, True random number generator (TRNG) is a significant aspirant in digital circuit to yield unpredictable digital bit stream. In this assignment self starved feedback SRAM based TRNG is proposed in quantum cellular automata (QCA) technology. Moreover, QCA technology is adopted to design TRNG components due to its features like ultra low power dissipation, low area and ultra high operating frequency. The proposed TRNG is comprised of self starved feedback circuit and floating clock generator. Again, the basis of self starved feedback circuit is a single bit QCA SRAM cell, which extracts the random digital bit. Furthermore, to enhance the randomness, floating clock generator is implemented across self starved feedback circuits input. The functionality of proposed TRNG is accomplished through QCA Designer tool and its architecture is also passed NIST statistical test of randomness. Hence proposed 8 bit TRNG can be interpreted as a novel contender for security applications due to its 14.82 GHz operating frequency, 0.36 μm2 area, latency of 1 QCA clock cycle, 28.53 meV average power dissipation and high tail probability of NIST test battery report in QCA technology.