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Mathematical Problems in Engineering
Volume 2013, Article ID 285373, 7 pages
http://dx.doi.org/10.1155/2013/285373
Research Article

Random Numbers Generated from Audio and Video Sources

Department of Healthcare Administration & Medical Informatics, Kaohsiung Medical University, 100 Shih-Chuan 1st Road, Kaohsiung 80708, Taiwan

Received 28 January 2013; Revised 20 March 2013; Accepted 21 March 2013

Academic Editor: Wang Xing-yuan

Copyright © 2013 I-Te Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Neel Bedekar, and Chiranjit Shee, “A novel approach to true random number generation in wearable computing environments using MEMS sensors,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8957, pp. 530–546, 2015. View at Publisher · View at Google Scholar
  • Chandan Kumar, Sandip Dutta, and Soubhik Chakraborty, “Cryptographic Key Extraction from Music,” Advances in Computational Intelligence, vol. 509, pp. 309–317, 2016. View at Publisher · View at Google Scholar
  • Jose J. Mijares Chan, Parimala Thulasiraman, Gabriel Thomas, and Ruppa Thulasiram, “Ensuring Quality of Random Numbers from TRNG: Design and Evaluation of Post-Processing Using Genetic Algorithm,” Journal of Computer and Communications, vol. 04, no. 04, pp. 73–92, 2016. View at Publisher · View at Google Scholar
  • Arjen K. Lenstra, and Benjamin Wesolowski, “Trustworthy public randomness with sloth, unicorn, and trx,” International Journal of Applied Cryptography, vol. 3, no. 4, pp. 330–343, 2017. View at Publisher · View at Google Scholar
  • Seda Arslan Tuncer, and Turgay Kaya, “True Random Number Generation from Bioelectrical and Physical Signals,” Computational and Mathematical Methods in Medicine, vol. 2018, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Dandan Han, Lequan Min, Hongyan Zang, and Xiuping Yang, “Robust Chaos of Cubic Polynomial Discrete Maps with Application to Pseudorandom Number Generators,” Mathematical Problems in Engineering, vol. 2019, pp. 1–17, 2019. View at Publisher · View at Google Scholar
  • Romanov, Ablayev, Andrianov, Vahrushev, Ziatdinov, and Soloviev, “Robust random number generator based on field effect transistor,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 11022, 2019. View at Publisher · View at Google Scholar