Apparatus and method for the detection of security violations in multilevel secure databases

• US 5,694,590 A
• Filed: 02/28/1992
• Issued: 12/02/1997
• Est. Priority Date: 09/27/1991
• Status: Expired due to Term

• Current Assignee: Green Wireless LLC (Intellectual Ventures LLC)
• Original Assignee: Mitre Corporation
• Inventors: Thuraisingham, Bhavani Marienne, Ford, William Rose Barlett
• Primary Examiner(s): Black, Thomas G.
• Assistant Examiner(s): AMSBURY, WAYNE P
• Application Number:
  US07/843,012
• Time in Patent Office: 2,104 Days
• Field of Search: 395/600, 395/61, 395/55, 380/25
• US Class Current: 1/1
• CPC Class Codes: G06F 21/55 Detecting local intrusion or implementing counter-measures
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06F 21/6227 where protection concerns the structure of data, e.g. records, types, queries
• CPC Class Codes: G06F 2221/2113 Multi-level security, e.g. mandatory access control
• CPC Class Codes: Y10S 706/934 Information retrieval or Information management
• CPC Class Codes: Y10S 707/99939 Privileged access
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

A tool for assisting an operator to detect security violations in a multilevel secure database. The database stores data classified at a plurality of security levels, where the different users of the database are cleared to different security levels and access the database through a multilevel secure database management system. Security constraints are represented in conceptual structures, rules, or frames, and operator communication with the constraint representation is provided by a user interface. An inference engine uses reasoning strategies on the security-constraint representations base to detect security violations in the database by inference.

Claims

1. Apparatus for detecting security violations by inference in a multilevel database application, comprising:

a module whose design utilizes

a) conceptual structures for representing the multilevel database application in which the conceptual structures comprise a collection of nodes to represent the entities of the application and links to represent the relationships between the entities, and

b) first methods for reasoning with the conceptual structures, whereby security violations in the application are detected by inference and a modified representation of the multilevel database application is produced;

a multilevel secure database management system that manages a multilevel database which stores the modified representation; and

an expert system for reasoning with the modified representation and with information released by the multilevel secure database management system to the expert system, whereby additional security violations in the application are detected by inference;

wherein the conceptual structures of the module comprise multilevel semantic nets and multilevel conceptual graphs, said multilevel semantic nets and multilevel conceptual graphs being derived from semantic nets and conceptual graphs by second methods, and

the first methods comprise techniques for reasoning with multilevel semantic nets and multilevel conceptual graphs; and

wherein the multilevel semantic nets comprise nodes and links at a plurality of security levels, the multilevel conceptual graphs comprise concepts and relationships at a plurality of security levels, and the first methods further comprise techniques for reasoning with the nodes and links and with the concepts and relationships.

2. Apparatus of claim 1 wherein the expert system comprises:

a knowledge base which represents information as frames and rules, said information including

a) the modified representation of the multilevel database application,

b) information from the multilevel database, and

c) activities of the multilevel secure database management system;

a knowledge manager for managing the knowledge base;

a truth maintenance system to maintain the consistency of the frames and rules of the knowledge base;

an inference engine which reasons with the information of the knowledge base using third methods, whereby the additional security violations are detected by inference;

a conflict and contention resolution system for resolving conflicts in the reasoning process of the third methods; and

a user interface which provides an interface between a user, the knowledge manager and the inference engine.