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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 46  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SCE 2022-11-04
14:45
Miyagi RIEC, Tohoku Univ.
(Primary: On-site, Secondary: Online)
True Random Number Sequences Generated by Utilizing Timing Jitters in Superconducting Integrated Circuits
Kenta Sato (UEC), Naonori Sega, Hiroshi Shimada, Mizugaki Yoshinao (UEC) SCE2022-10
A Hardware Random Number Generator (HRNG), which generates true random number sequences, is studied. In superconducting ... [more] SCE2022-10
pp.6-10
HWS, ICD 2022-10-25
11:25
Shiga
(Primary: On-site, Secondary: Online)
Fundamental Study on Randomness Evaluation of ERO-TRNG Using APD
Keiichi Ozaki, Daisuke Fujimoto (NAIST), Saki Osuka, Shinichi Kawamura (AIST), Yuichi Hayashi (NAIST) HWS2022-33 ICD2022-25
Randomness evaluation of true random number generators (TRNGs) based on ring oscillators (ROs) requires an analysis of o... [more] HWS2022-33 ICD2022-25
pp.17-22
CPM 2022-08-04
15:50
Hokkaido   Prototyping of random number generator using magnetic domain images
Shinichiro Mito (NITTC) CPM2022-14
A random number is widely used in the information technologies such as security, simulation, and deep learning. With the... [more] CPM2022-14
pp.11-13
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2022-07-19
13:50
Online Online Randomness evaluation of TERO-based TRNG with a side-channel attack countermeasure
Saki Osuka (AIST), Daisuke Fujimoto, Yuichi Hayashi (NAIST), Shinichi Kawamura (AIST) ISEC2022-9 SITE2022-13 BioX2022-34 HWS2022-9 ICSS2022-17 EMM2022-17
True random number generators (TRNGs) based on ring oscillators (ROs) are employed in many devices because they can be c... [more] ISEC2022-9 SITE2022-13 BioX2022-34 HWS2022-9 ICSS2022-17 EMM2022-17
pp.13-17
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2022-07-20
14:50
Online Online Distributed Random Number Generation Method on Smart Contracts
Kentaro Sako (Waseda Univ), Shin'ichiro Matsuo (Georgetown Univ), Tatsuya Mori (Waseda Univ) ISEC2022-25 SITE2022-29 BioX2022-50 HWS2022-25 ICSS2022-33 EMM2022-33
We propose N-choice game (NCG), a decentralized pseudo-random number generation method that can be executed on smart con... [more] ISEC2022-25 SITE2022-29 BioX2022-50 HWS2022-25 ICSS2022-33 EMM2022-33
pp.104-109
SDM, ICD, ITE-IST [detail] 2021-08-18
14:50
Online Online [Invited Talk] Latch Based Static and Dynamic Random Number Generators for Information Security
Hirofumi Shinohara, Kunyang Liu, Ruilin Zhang, Xingyu Wang (Waseda Univ.) SDM2021-42 ICD2021-13
This paper describes latch-based TRNG and PUF with highly stable operations [more] SDM2021-42 ICD2021-13
pp.64-67
BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2021-07-20
15:55
Online Online Evaluation of TRNG Using CMOS Image Sensor
Hayato Tatsuno, Tatsuya Oyama, Masayoshi Shirahata, Shunsuke Okura, Takeshi Fujino (Ritsumeikan Univ.) ISEC2021-26 SITE2021-20 BioX2021-27 HWS2021-26 ICSS2021-31 EMM2021-31
Recently, the number of IoT devices has been increasing rapidly, and cryptographic functions such as authentication, key... [more] ISEC2021-26 SITE2021-20 BioX2021-27 HWS2021-26 ICSS2021-31 EMM2021-31
pp.98-103
BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2021-07-20
16:20
Online Online Implementation and Evaluation of a Ring Oscillator Type True Random Number Generator (2)
Ryuichi Minagawa, KevinHideaki Omae, Kotarou Hayashi, Naoya Torii (Soka Univ.) ISEC2021-27 SITE2021-21 BioX2021-28 HWS2021-27 ICSS2021-32 EMM2021-32
A true random number generator (TRNG) is suitable for securing key generation and nonce generation on IoT devices. The r... [more] ISEC2021-27 SITE2021-21 BioX2021-28 HWS2021-27 ICSS2021-32 EMM2021-32
pp.104-109
CPM 2021-03-03
10:45
Online Online Magnetic domain of highly-Bi-doped sputtered garnet films for a random number generator
Izumi Nakamura, Shutaro Yoshida, Shinichiro Mito (NITTC) CPM2020-61
Physical random number generator is necessary to generate true random numbers. However, a physical random number generat... [more] CPM2020-61
pp.22-25
CPM 2021-03-03
11:00
Online Online Investigation of a LPE garnet films for a random number generator
Kaishu Yamada, Shinitirou Mito, Akitarou Yoshida (NITTC) CPM2020-62
Single-crystal magnetic garnet films with perpendicular magnetic anisotropy has maze magnetic domain pattern.
The patt... [more]
CPM2020-62
pp.26-29
CPM 2021-03-03
11:15
Online Online Development of a fast compact random number generator using magneto-optical effects
Shutaro Yoshida, Izumi Nakamura, Kaishu Yamada, Shinichiro Mito (NITTC) CPM2020-63
High quality and fast random number generation is important for security and simulation. This study aims to realize a co... [more] CPM2020-63
pp.30-33
SCE 2021-01-19
14:35
Online Online Design and Evaluation of Random Number Generators Based on Non-Adiabatic Quantum-Flux-Parametron Gates
Wenhui Luo, Naoki Takeuchi, Olivia Chen, Nobuyuki Yoshikawa (Yokohama Natl. Univ.) SCE2020-20
We propose a random number generator (RNG) using non-adiabatic quantum-flux-parametron (QFP) gates. The RNG is a simple ... [more] SCE2020-20
pp.19-23
SITE, ISEC, HWS, EMM, BioX, IPSJ-CSEC, IPSJ-SPT, ICSS [detail] 2020-07-21
10:00
Online Online Performance Evaluation of True Random Number Generator Using Latches
Naoya Torii, Hideaki Kevin Omae (Soka Univ.) ISEC2020-24 SITE2020-21 BioX2020-27 HWS2020-17 ICSS2020-11 EMM2020-21
The use of a physical random number generator (TRNG) is suitable for secure key generation of IoT devices and secure non... [more] ISEC2020-24 SITE2020-21 BioX2020-27 HWS2020-17 ICSS2020-11 EMM2020-21
pp.69-74
NC, MBE 2019-12-06
14:40
Aichi Toyohashi Tech Implementation of an FPGA-based energy-efficient MCMC method for 2D Lenz-Ising model
Patrick Tchicali, Hayaru Shouno (UEC) MBE2019-54 NC2019-45
MCMC methods are arguably one of the most useful sampling methods. MCMC while being very useful and practical remains a ... [more] MBE2019-54 NC2019-45
pp.55-60
HWS, ICD [detail] 2019-11-01
15:20
Osaka DNP Namba SS Bld. Fundamental study on an estimation method of output bits from TERO-based TRNG during frequency injection attack
Saki Osuka, Daisuke Fujimoto, Yuichi Hayashi (NAIST) HWS2019-62 ICD2019-23
True random number generators (TRNGs) based on ring oscillators (ROs) are employed in many devices because they can be c... [more] HWS2019-62 ICD2019-23
pp.29-34
SIS, IPSJ-AVM, ITE-3DMT [detail] 2019-06-13
11:20
Nagasaki Fukue Culture Center A random number generation method for hardware implemented neural networks
Sansei Hori, Hakaru Tamukoh (Kyushu Inst. of Tech.) SIS2019-1
This study proposes a hardware oriented random number generation method to implement a stochastically neural networks su... [more] SIS2019-1
pp.1-4
QIT
(2nd)
2019-05-21
15:50
Fukuoka Kyushu University, Chikushi Campus Quantum Computer Status Check via Output Random Numbers Sequence
Kentaro Tamura, Yutaka Shikano (Keio Univ.)
The stochastic nature of quantum computers allows the generation of true random numbers. This is because the measurement... [more]
NLP, NC
(Joint)
2019-01-23
11:00
Hokkaido The Centennial Hall, Hokkaido Univ. Performance Evaluation of Chaotic Random Numbers Using Integer Logistic Map by NIST Test
Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Kantaro Fujiwara (UT), Tohru Ikeguchi (TUS) NLP2018-100
In this report, we generated pseudorandom numbers using chaotic dynamics and investigated its performance as pseudorando... [more] NLP2018-100
pp.23-28
EMCJ, IEE-EMC, IEE-MAG 2018-11-22
15:10
Overseas KAIST [Poster Presentation] Fundamental Study on Degradation of Randomness in TRNG Due to Intentional Electromagnetic Interference
Saki Osuka, Daisuke Fujimoto (NAIST), Naofumi Homma (Tohoku Univ.), Arthur Beckers, Josep Balasch, Benedikt Gierlichs, Ingrid Verbauwhede (KU Leuven), Yu-ichi Hayashi (NAIST) EMCJ2018-66
Attacks that degrade the randomness of a true random number generator (TRNG) by physical attacks on entropy sources, whi... [more] EMCJ2018-66
pp.35-36
SITE, ISEC, LOIS 2018-11-03
11:30
Fukuoka   A Study on a New Evaluation Tool for Pseudo Random Number Generators based on Neural Network
Hayato Kimura (Tokai Univ.), Takanori Isobe (Univ. of Hyogo), Toshihiro Ohigashi (Tokai Univ.) ISEC2018-65 SITE2018-43 LOIS2018-25
Security of stream cipher depends on PRNG (Pseudo Random Number Generator) of the stream cipher. There are evaluation me... [more] ISEC2018-65 SITE2018-43 LOIS2018-25
pp.7-12
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