In this paper we discuss PRNGs: the mechanisms used by real-world secure systems to generate cryptographic keys, initialization vectors, “random” nonces, and other values assumed to be random. We argue that PRNGs are their own unique type of cryptographic primitive, and should be analyzed as such. We propose a model for PRNGs, discuss possible attacks against this model, and demonstrate the applicability of the model (and our attacks) to four real-world PRNGs. We close with a discussion of lessons learned about PRNG design and use, and a few open questions.
- Hash Function
- Block Cipher
- Stream Cipher
- Pseudorandom Number Generator
- Entropy Sample
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Kelsey, J., Schneier, B., Wagner, D., Hall, C. (1998). Cryptanalytic Attacks on Pseudorandom Number Generators. In: Vaudenay, S. (eds) Fast Software Encryption. FSE 1998. Lecture Notes in Computer Science, vol 1372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69710-1_12
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