Communication Theory of Secrecy Systems.

Shannon, C. E. (1949). Communication Theory of Secrecy Systems. Bell System Technical Journal, 28(4), 656-715.

Type

Journal article

Intellectual base

Primary research

Year

1949

DOI

10.1002/j.1538-7305.1949.tb00928.x

Link

https://doi.org/10.1002/j.1538-7305.1949.tb00928.x

Cited from

information_theory, mathematics

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Conditional Entropy
  • Shannon's secrecy theory formulated perfect secrecy by requiring that the cryptogram not reduce the message uncertainty, while possession of the key can collapse the remaining uncertainty.
• Statistical Independence
  • Causal inference and experimental design: randomization is the intervention that manufactures independence between treatment and confounders, which is what makes the resulting comparison interpretable. Cryptography and information theory: secrecy is the demand that ciphertext be statistically independent of plaintext given no key; mutual information measures the gap from independence.

    This sourceDefines perfect secrecy as statistical independence of ciphertext from plaintext, with mutual information measuring the gap.

Domain-specific

• Quantum key distribution
  • … and measurement model, authenticated classical channel, sampling, error threshold, finite-key analysis, device assumptions, leakage accounting, and composable security claim are explicit. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..

Verification

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