Computer's source based (Pseudo) Random Number Generation

被引:0
作者
Karimovich, Ganiyev Salim [1 ]
Turakulovich, Khudoykulov Zarif [2 ]
Ubaydullayevna, Halimtoeva Ikbola [2 ]
机构
[1] Tashkent Univ Informat Technol, Dept Informat Secur, Tashkent, Uzbekistan
[2] Tashkent Univ Informat Technol, Dept Cryptol & Discrete Math, Tashkent, Uzbekistan
来源
2017 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND COMMUNICATIONS TECHNOLOGIES (ICISCT) - APPLICATIONS, TRENDS AND OPPORTUNITIES | 2017年
关键词
(pseudo) random number generator; randomness; entropy; prime number; statistical test and block cipher;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Random numbers are critical in every cryptographic fields. They can be used as cryptographic key, seed, nonce, initialization vector, etc. In this paper, new (pseudo) random number generator (PRNG or RNG) based on computer's source is proposed. The principle of method consist in collecting (nearly) random sources produced from computer and used it as seed for (pseudo) random number generation. Random number generator produces 128, 256-bit keys for symmetric ciphers and various length prime numbers. Random numbers are used as seed or initialization vector for pseudorandom number generator and it generates arbitrary keys. Generated (pseudo) random numbers are tested by NIST Statistical test suite.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Analysis of entropy source for random number generation based on optical PUFs
    Chen, Kun
    Wang, Pidong
    Huang, Feng
    Leng, Xiao
    Yao, Yao
    JOURNAL OF APPLIED PHYSICS, 2023, 133 (17)
  • [2] A Novel Pseudo Random Number Generator Based on L'Ecuyer's Scheme
    Buccafurri, Francesco
    Lax, Gianluca
    2014 11TH INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHY (SECRYPT), 2014, : 321 - 328
  • [3] Analysis of the Noise Source Entropy Used in OpenSSL's Random Number Generation Mechanism
    Hyunki-Kim
    Jinhyeok-Oh
    Changuk-Jang
    Okyeon-Yi
    Juhong-Han
    Hansaem-Wi
    Chanil-Park
    2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE, 2019, : 59 - 62
  • [4] Pseudo-Chaotic Lossy Compressors for True Random Number Generation
    Addabbo, Tommaso
    Fort, Ada
    Kocarev, Ljupco
    Rocchi, Santina
    Vignoli, Valerio
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2011, 58 (08) : 1897 - 1909
  • [5] S-box-based random number generation for stochastic computing
    Neugebauer, Florian
    Polian, Ilia
    Hayes, John P.
    MICROPROCESSORS AND MICROSYSTEMS, 2018, 61 : 316 - 326
  • [6] Pseudo-Random Number Generator Based on Fuzzy Logic
    Anikin, Igor V.
    Alnajjar, Khaled
    2016 INTERNATIONAL SIBERIAN CONFERENCE ON CONTROL AND COMMUNICATIONS (SIBCON), 2016,
  • [7] Pseudo random number generator based on quantum chaotic map
    Akhshani, A.
    Akhavan, A.
    Mobaraki, A.
    Lim, S. -C.
    Hassan, Z.
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2014, 19 (01) : 101 - 111
  • [8] Pseudo-random number generators based on the Collatz conjecture
    Xu D.
    Tamir D.E.
    International Journal of Information Technology, 2019, 11 (3) : 453 - 459
  • [9] The entropy source of pseudo random number generators: from low entropy to high entropy
    Wang, Jizhi
    Pan, Jingshan
    Wu, Xueli
    2019 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS (ISI), 2019, : 161 - 163
  • [10] Random number generation
    Sobotka, Jiri
    KNOWLEDGE IN TELECOMMUNICATION TECHNOLOGIES AND OPTICS 2010 (KTTO 2010), 2010, : 115 - 117