Statistical Cryptography using a Fisher-Schrödinger Model
| dc.creator | Venkatesan, R. C. | |
| dc.date | 2007-01-15 | |
| dc.date.accessioned | 2026-07-07T07:40:51Z | |
| dc.date.available | 2026-07-07T07:40:51Z | |
| dc.description | A principled procedure to infer a hierarchy of statistical distributions possessing ill-conditioned eigenstructures, from incomplete constraints, is presented. The inference process of the \textit{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 \textit{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 \textit{null spaces} of the ill-conditioned eigenstructures, is presented. Numerical simulations exemplify the efficacy of the model. | |
| dc.description | 8 pages + 2 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0701319 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0701319 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/121905 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Cryptography and Security | |
| dc.title | Statistical Cryptography using a Fisher-Schrödinger Model | |
| dc.type | text |