Accession Number:

AD0762577

Title:

Information Theory and Privacy in Data Banks,

Descriptive Note:

Corporate Author:

RAND CORP SANTA MONICA CALIF

Personal Author(s):

Report Date:

1973-01-01

Pagination or Media Count:

27.0

Abstract:

The problem of providing privacy transformations for data banks and retrieval systems falls into two modern disciplines information theory and computer science. In the paper the concern is primarily with the former. Here it is shown that measures of privacy can be drawn from information theory and, in particular, from rate distortion theory. It is demonstrated that a rate distortion function or the minimum mutual information about a record, conveyed by a distorted version of the record, is a natural measure of privacy. Shannons conditions for perfect secrecy are met if the average mutual information about an original record R, given a distorted version E, is zero. Author

Subject Categories:

  • Computer Hardware
  • Computer Systems Management and Standards
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE