Mitsuki Fujiwara
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Mitsuki Fujiwara has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Arshad Ali
Faculty of CSE, Hajee Mohammad Danesh Science and Technology University, Dinajpur 5200, Bangladesh
1 shared publication - Ryoichi Sato
Okayama University, Graduate School of Environmental, Life, Natural Science and Technology, Okayama, Japan
1 shared publication - Yasuyuki Nogami
Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama 700-8530, Japan
1 shared publication - Yuta Kodera
Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, Okayama 700-8530, Japan
1 shared publication
Latest Publications
- Open Access
Evaluation of TRNG Bit Distribution via Stable Entropy Source Synchronization on FPGA
This study examined the correlation between the number of delay flip-flops (D-FFs) connected after each ring oscillator (RO) and the bit distribution of random number sequences in an RO-based random number generator (RNG). In our previous research, unstable input signals to the XOR gate contributed to differences in bit distribution. Based on these results, we simulated how combining signals with biased distributions through XOR gates affects the overall bit distribution. Beyond this, we also conducted simulations where the inputs to the XOR gate included not just {0, 1} signals, but also three-state signals incorporating metastable states. We then proposed using multi-D-FFs as synchronization circuits for RO signals and performed analyses on RO-based RNG implementations by estimating metastable output conditions and conducting NIST Special Publication 800-22 tests regarding bit distributions. These results confirm that inserting two or more D-FFs after RO signals improves the bit distribution of RO-based RNG implementations.
Open AccessEvaluation of TRNG Bit Distribution via Stable Entropy Source Synchronization on FPGA
This study examined the correlation between the number of delay flip-flops (D-FFs) connected after each ring oscillator (RO) and the bit distribution of random number sequences in an RO-based random number generator (RNG). In our previous research, unstable input signals to the XOR gate contributed to differences in bit distribution. Based on these results, we simulated how combining signals with biased distributions through XOR gates affects the overall bit distribution. Beyond this, we also conducted simulations where the inputs to the XOR gate included not just {0, 1} signals, but also three-state signals incorporating metastable states. We then proposed using multi-D-FFs as synchronization circuits for RO signals and performed analyses on RO-based RNG implementations by estimating metastable output conditions and conducting NIST Special Publication 800-22 tests regarding bit distributions. These results confirm that inserting two or more D-FFs after RO signals improves the bit distribution of RO-based RNG implementations.