SELECTIVE DATA ENCRYPTION USING STYLE SHEET PROCESSING FOR DECRYPTION BY A GROUP CLERK

Patent №

US 6,961,849

Granted

2005-11-01

Filed 1999

Owner

IBM CORPORATION

AI components

3

planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09422537

A method, system, and computer program product for selectively encrypting one or more elements of a document using style sheet processing. Disclosed is a policy-driven augmented style sheet processor (e.g. an Extensible Stylesheet Language, or “XSL”, processor) that creates a selectively-encrypted document (e.g. an Extensible Markup Language, or “XML”, document) carrying key-distribution material, such that by using an augmented document processor (e.g., an augmented XML processing engine), an agent can recover only the information elements for which it is authorized. The Document Type Definition (DTD) or schema associated with a document is modified, such that the DTD or schema specifies a reference to stored security policy to be applied to document elements. Each document element may specify a different security policy, such that the different elements of a single document can be encrypted differently (and, some elements may remain unencrypted). The key distribution material enables a document to be encrypted for decryption by an audience that is unknown at the time of document creation, and enables access to the distinct elements of a single encrypted document to be controlled for multiple users and/or groups of users. In this manner, group collaboration is improved by giving more people easier access to information for which they are authorized, while protecting sensitive data from unauthorized agents. A key recovery technique is also defined, whereby the entire document can be decrypted by an authorized agent regardless of how the different elements were originally encrypted and the access protections which were applied to those elements.

AI classification

Planning1.00
AI hardware0.94
Evolutionary computation0.55
Knowledge representation0.11
Natural language0.04
Machine learning0.00
Vision0.00
Speech0.00

Ownership

IBM CORPORATION

assignment · 103390622

Assignors

DAVIS, MARK C., HIND, JOHN R., PETERS, MARCIA L., TOPOL, BRAD B.

On an employer assignment, the assignors are typically the inventors.

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