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Statistical Cryptography using a Fisher-Schr"{o}dinger Model | | R. C. Venkatesan
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15 Jan 2007 | | Subject: | Statistical Mechanics | | Abstract: | A principled procedure to infer a hierarchy of statistical distributions possessing ill-conditioned eigenstructures, from incomplete constraints, is presented. The inference process of the extit{pdf}’s employs the Fisher information as the measure of uncertainty, and, utilizes a semi-supervised learning paradigm based on a measurement-response model. The principle underlying the learning paradigm involves providing a quantum mechanical connotation to statistical processes. The inferred extit{pdf}’s constitute a statistical host that facilitates the encryption/decryption of covert information (code). A systematic strategy to encrypt/decrypt code via unitary projections into the extit{null spaces} of the ill-conditioned eigenstructures, is presented. Numerical simulations exemplify the efficacy of the model. | | Source: | arXiv, cond-mat/0701319 | | Services: | Forum | Review | PDF | Favorites | |
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