SSTRNG: self starved feedback SRAM based true random number generator using quantum cellular automata
- PDF / 4,221,695 Bytes
- 13 Pages / 595.276 x 790.866 pts Page_size
- 95 Downloads / 308 Views
(0123456789().,-volV)(0123456789().,-volV)
TECHNICAL PAPER
SSTRNG: self starved feedback SRAM based true random number generator using quantum cellular automata Arindam Sadhu1 • Kunal Das1
•
Debashis De2,3 • Maitreyi Ray Kanjilal1
Received: 12 February 2019 / Accepted: 17 June 2019 Ó Springer-Verlag GmbH Germany, part of Springer Nature 2019
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 lm2 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.
1 Introduction Security is a prime concern for every device in today’s modern era. There are several computer security techniques to secure device or information like internet security, network security, data security, computer stand alone security etc. In every sector True Random Number Generator (TRNG) is an indispensible in modern secured technologies. Therefore, TRNG has great impact on secured & Kunal Das [email protected] Arindam Sadhu [email protected] Debashis De [email protected] Maitreyi Ray Kanjilal [email protected] 1
Narula Institute of Technology, 81, Nilganj Road, Agrapara, Kolkata 700109, India
2
West Bengal University of Technology, BF-142, Salt Lake, Kolkata, India
3
School of Physics, University of Western Australia, M013 35, S.H, Crawley, Perth, Australia
systems and communication. Although Pseudo Random number generator (PRNG) can be adopted for security techniques, but it is follow a deterministic algorithm (Hedayatpour and Chuprat 2011). Again PRNG generated data sequence will repeat after a specific period. So, realization of TRNG is much important, where generated bit streams are unique and unpredictable. Actually TRNG is a novel hardware cryptographic concept that has unique physical concept with less energy dissipation (Lim et al. 2005; Holcomb et al. 2009; Qadri et al. 2019). As TRNG system does not fol
Data Loading...
