2013 · 25 citations · 6 references
ComputingComputer EngineeringComputer ScienceComputer SecurityCryptographySeed TechnologyEmbedded SecurityEmbedded System SecurityRandom Number GenerationCryptographic ApplicationsCryptographic Random Number GenerationPseudo-random Number GenerationPseudo-random Number GeneratorsPseudorandom GeneratorsRandom Number Generator WeaknessesRandomness GenerationSeed Generation
The generation of high quality random numbers is crucial to many cryptographic applications, including cryptographic protocols, secret of keys, nonces or salts. Their values must contain enough randomness to be unpredictable to attackers. Pseudo-random number generators require initial data with high entropy as a seed to produce a large stream of high quality random data. Yet, despite the importance of randomness, proper high quality random number generation is often ignored. Primarily embedded devices often suffer from weak random number generators.
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Welcome to the Entropics: Boot-Time Entropy in Embedded Devices
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