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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 50 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
NLP 2017-03-14
16:00
Aomori Nebuta Museum Warasse Physical random number generation under noisy observation of entropy source
Kenichi Arai, Jun Muramatsu (NTT) NLP2016-116
We theoretically show that undesired noise can be eliminated in generating Physical Random Numbers (PRNs). PRNs can be u... [more] NLP2016-116
pp.57-61
COMP, ISEC 2016-12-21
13:40
Hiroshima Hiroshima University [Invited Talk] Backdoors in Pseudorandom Number Generators: Possibility and Impossibility Results
Jean Paul Degabriele, Kenneth Paterson (RHUL), Jacob Schuldt (AIST), Joanne Woodage (RHUL) ISEC2016-75 COMP2016-36
In this talk, we continue the foundational work on backdoored pseudorandom generators (PRGs) initiated by Dodis et al., ... [more] ISEC2016-75 COMP2016-36
p.27
SAT, SANE
(Joint)
2016-02-17
09:30
Hiroshima Hiroshima Institute of Technology Security enhancement of drone control communications by quantum key distribution.
Toshiyuki Ito (NICT), Kazuo Ichihara (PRODRONE), Mitsuo Kitamura, Ryoji Nishizawa, Mikio Fujiwara, Masahide Sasaki (NICT) SAT2015-71
Recently, performances of drones (unmanned aerial vehicles, UAVs) rapidly progress, and their applications spread into m... [more] SAT2015-71
pp.47-50
CAS 2016-01-28
16:15
Tokyo Kikai-Shinko-Kaikan Bldg. Quantitative Evaluation of Tamper Resistance for Random Number Masking
Ryoma Matsuhisa, Masaya Yoshikawa (Meijo Univ.) CAS2015-70
When a cryptographic circuit is used, it is extremely important to verify its tamper resistance against side-channel att... [more] CAS2015-70
pp.51-56
CCS 2015-08-07
10:00
Hokkaido Dai-ichi Takimotokan (Noboribetsu, Hokkaido) Randomness and Complexity in "Nano-chaos"
Song-Ju Kim (NIMS), Makoto Naruse (NICT), Masashi Aono (TITECH), Hirokazu Hori (U. Yamanashi) CCS2015-41
Previously, we performed numerical simulations to explore how optical energy (exciton) transfers in a network of quantum... [more] CCS2015-41
pp.67-72
SCE 2015-08-05
10:50
Kanagawa Yokohama National Univ. Evaluation of operation margin of superconducting random number generator system composed of 2types random number generator
Hiromichi Sugata, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ) SCE2015-18
Physical random number receiving attention to improve safety of cryptography. However, the generation rate of physical r... [more] SCE2015-18
pp.59-62
IPSJ-CSEC, ISEC, SITE, ICSS, EMM, IPSJ-SPT [detail] 2015-07-02
11:05
Aichi NAGOYA TRADE & INDUSTRY CENTER Chosen Initial Vector Attack against Pseudorandom Number Generator QP-DYN
Kenichi Arai, Yasutaka Igarashi, Toshinobu Kaneko (Tokyo Univ of Science) ISEC2015-11 SITE2015-9 ICSS2015-21 EMM2015-19
QP--DYN is a new pseudorandom number generator (PRNG) proposed by Ohya and Accardi.
In 2014, Iriyama and Ohya introduce... [more]
ISEC2015-11 SITE2015-9 ICSS2015-21 EMM2015-19
pp.15-21
ICSS 2015-03-04
09:50
Okinawa Meio Univiersity A study on the safety of the pseudo-random number generator in RFID
Hiroyuki Sato (JAIST), Atsuko Miyaji (JAIST/JST CREST), Chunhua Su (JAIST) ICSS2014-75
One of the ways of verifing that whether pseudo-random number generator (PRNG) meets the security requirements or not is... [more] ICSS2014-75
pp.73-78
ET 2014-10-18
15:40
Ishikawa Kanazawa Univ. (Kakuma Campus) Study on Automatic Grading of Programming Assignments on Random Algorithms
Saburo Higuchi (Ryukoku Univ.) ET2014-48
We discuss automatic grading of programming assignments with blackbox testing.
For programs that involve random algorit... [more]
ET2014-48
pp.59-60
IT 2014-09-19
13:25
Chiba   Algorithms for Generating Constrained Random Numbers and Their Application to Channel Coding
Jun Muramatsu (NTT) IT2014-47
This paper introduces algorithms for generating random numbers that satisfy a condition specified by a function and its ... [more] IT2014-47
pp.37-42
SCE 2013-07-22
12:05
Tokyo Kikaishinkou-kaikan Bldg. The optimaization of comparator for performance improvement of superconductive random nmber generator
Shunsuke Hachiya, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2013-15
Physical random number is focused to increase the security of encrypted communication. Generation rate of the physical r... [more] SCE2013-15
pp.29-32
NLP 2013-07-09
13:25
Okinawa Miyako Island Marine Terminal Fast physical random bit generation using photonic integrated circuits with external cavities for chaos generation
Rie Takahashi, Yasuhiro Akizawa, Taiki Yamazaki, Atsushi Uchida (Saitama Univ.), Takahisa Harayama (NTT/Toyo Univ.), Ken Tsuzuki (NTT), Satoshi Sunada (NTT/Kanazawa Univ.), Kazuyuki Yoshimura, Kenichi Arai (NTT), Peter Davis (NTT /Telecognix Corp.) NLP2013-43
Recently, fast physical random-number generators using chaotic lasers have been proposed. However, most previous schemes... [more] NLP2013-43
pp.93-98
VLD 2013-03-06
10:30
Okinawa Okinawa Seinen Kaikan A worst-case-aware design methodology for oscillator-based true random number generator with stochastic behavior modeling
Takehiko Amaki, Masanori Hashimoto (Osaka Univ.), Yukio Mitsuyama (Kochi Univ. of Tech.), Takao Onoye (Osaka Univ.) VLD2012-154
This paper presents a worst-case-aware design methodology for an oscillator-based true random number generator (TRNG) ro... [more] VLD2012-154
pp.99-104
NLP 2012-11-19
14:20
Miyagi Ishinomaki Senshu University Study on Testing for Randomness of Pseudo-Random Number Sequence with NIST SP800-22 rev.1a
Hitoaki Yoshida, Takeshi Murakami (Iwate Univ.), Satoshi Kawamura (Ishinomaki Senshu Univ.) NLP2012-78
NIST Special Publication 800-22, Statistical Test Suite for Random and Pseudo-random Number Generators for Cryptographic... [more] NLP2012-78
pp.13-18
ICD 2011-12-15
16:10
Osaka   [Poster Presentation] An oscillator-based true random number generator with jitter amplifier
Takehiko Amaki, Masanori Hashimoto, Takao Onoye (Osaka Univ.) ICD2011-118
This paper presents an oscillator-based TRNG (true random number generator) with jitter amplifier. The proposed jitter a... [more] ICD2011-118
pp.87-92
IT, ISEC, WBS 2010-03-05
15:20
Nagano Nagano-Engineering Campus, Shinshu University On key recovery for Enocoro with weak key in related-key attack scenario
Yasutaka Igarashi, Kazuto Okamoto, Toshinobu Kaneko (Tokyo Univ. of Science) IT2009-113 ISEC2009-121 WBS2009-92
Enocoro is a hardware-oriented pseudorandom number generator (PRNG), whose structure is similar to the PRNG named PANAMA... [more] IT2009-113 ISEC2009-121 WBS2009-92
pp.275-280
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