Pseudorandom codes are sequences of numbers that appear random but are generated by a deterministic algorithm. While they are not truly random, they possess statistical properties that mimic those of random sequences, making them suitable for applications requiring unpredictability. These codes are generated from an initial value known as a seed.
Context
Pseudorandom number generators (PRNGs) are foundational to many cryptographic applications, including the generation of keys, nonces, and random values in consensus mechanisms within blockchain technology. Discussions in crypto news often touch upon the security implications of PRNG implementations, especially in relation to the integrity of transaction ordering, block creation, and the generation of secure cryptographic primitives.
This research introduces novel pseudorandom error-correcting codes, a cryptographic primitive for provably secure and tamper-resistant watermarking of generative AI outputs.
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