Method for Evaluating the Vulnerability of Random Number Generators for Cryptographic Protection in Information Systems

Author:

Blagoev Ivan

Publisher

Springer International Publishing

Reference8 articles.

1. Random Number Service. https://www.random.org

2. Pseudo-Random Number Generators. https://crypto.stanford.edu/pbc/notes/crypto/prng.html

3. Lacharme, P., Röck, A., Strubel, V., Videau, M.: The Linux Pseudorandom Number Generator Revisited. Cryptology ePrint Archive, 251 (2012)

4. Dörre, F., Klebanov, V.: Practical detection of entropy loss in pseudo-random number generators. In: CCS 2016, Vienna, Austria, pp. 1–12 (2016)

5. Atanasova, T., Barova, M.: Exploratory analysis of Time Series for hypothesizes feature values. In: International Scientific Conference UniTech 2017, vol. II, pp. 399–403. University Publishing House V, Aprilov, Gabrovo (2017)

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