BEST2000C: platform-independent, acrostic database encryption of biometrically-inert transgression-ciphers for up to 90 reduction of the $50 billion annual fictitious-identity transgressions

摘要

The invention (“INVENTION”) herein relates to government or private-use ciphers for assignable fictitious-identity information accessed through a data system or other form of data repository for maintenance or retention of financial, credit, medical or related asset management records. To help protect or restore integrity to such government or private-use ciphers occasionally compromised through private, public or commercial transactions, the art applies a prime/number-keyed acrostic-encryption throughout a data system or other form of information repository, encoding biometrically-inert transgression ciphers (“BIT-ciphers” or “TRANSGRESSION-CIPHERS”) therein. Such BIT-ciphers and their financial, credit or related asset management records form fictitious-identities, unassigned to any real person or real institution. These are populated throughout an extant data system or other form of information repository, including archival storage, containing preexisting fictitious-identity ciphers (“FID-ciphers”) assigned by a government or agencies, thereof, to online records for various parties, whether they be public or private institutions, corporations or individuals. FID-ciphers are processed through extant government and commercial systems for tax collections, credit monitoring, financial transactions and other forms of fictitious-identity processing. However, every BIT-cipher accessed through encoded government or commercial systems, or access of any BIT-cipher's related record components, in any way, triggers a 100% positive detection of a fictitious-identity transgression at the moment of access. A Fast-Access Network of Transgression Alert Servers for Transparently Implanted Ciphers version 7 (herein “FANTASTIC-7™”) allows instant capture and/or monitoring, for extended periods, of a party or parties engaged in fictitious-identity transgression.