Information infrastructure management tools with variable and configurable filters and segmental data stores

• US 10,182,073 B2
• Filed: 01/15/2015
• Issued: 01/15/2019
• Est. Priority Date: 01/05/2007
• Status: Active Grant

• Current Assignee: DigitalDoors, Inc.
• Original Assignee: DigitalDoors, Inc.
• Inventors: Redlich, Ron M., Nemzow, Martin A.
• Primary Examiner(s): Rahman, S M A
• Application Number:
  US14/597,314
• Publication Number:
  US 20150200967A1
• Time in Patent Office: 1,461 Days
• Field of Search: 709223
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/282 Hierarchical databases, e.g. IMS, LDAP data stores or Lotus Notes
• CPC Class Codes: G06F 16/93 Document management systems
• 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 21/6254 by anonymising data, e.g. decorrelating personal data from the owner's identification
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 63/0227 Filtering policies mail message filtering H04L51/212
• CPC Class Codes: H04L 63/105 Multiple levels of security
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Abstract

Method of creating an information infrastructure for processing data throughput or a method for processing data throughput in a distributed computing system works on sensitive content (e.g., trade secrets) or select content (e.g., critical content) and generates or reduces sensitive/select data with configurable filters (expanding, contracting, hierarchical/orthogonal classifier filters) to separate and store sensitive/select data in designated, distributed data stores. Sensitive/select data stores may have security clearance requirements.

Claims

1. A method of creating an information infrastructure for processing data throughput in a distributed computing system with respective ones of a plurality of filters, comprising:

identifying sensitive content and select content in said data throughput with respective initially configured filters of said plurality of filters, said sensitive content represented by one or more sensitive words, characters, images, data elements or data objects therein grouped into a plurality of sensitivity levels, said select content represented by one or more predetermined words, characters, images, data elements or data objects,

providing in said distributed computing system a plurality of secure sensitive content data stores and a plurality of select content data stores for said respective initial filters,

operatively coupling said respective initially configured filters, over a communications network with said distributed computing system, said plurality of sensitive content data stores and said select content data stores;

altering said respective initially configured filters by;

expanding one or both of said sensitive content and said select content in a designated filter, (b) contracting or reducing one or both of said sensitive content and said select content in said designated filter, and imposing or removing a hierarchical or an orthogonal classification in said designated filter;

generating modified configured filters based upon said alterations with said designated filter; and

,

organizing further data throughput in said distributed computing system with said modified configured filters.

2. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 1 wherein said altering is (i) per an operator command or (ii) a predetermined sequence or (iii) a predetermined event trigger.

3. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 1 including imposing a policy level hierarchical or orthogonal classification on said sensitive content and said select content with a respective filter.

4. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 1 wherein said altering occurs per operator command and enables said operator to add and delete the steps of expanding, contracting and imposing classifications.

5. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 1 including

supplying an inference engine for said sensitive content and said select content associated with a respective filter and one or more of:

(i) external data from sources outside said enterprise, (ii) internal data from one or both of said secure content data stores and select content data stores; and

generating inferred keywords from said inference engine having a relevancy to one or both of said sensitive content and said select content in said respective filter and supplementing said configured filters with said inferred keywords.

6. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 5 including reorganizing said data throughput with the supplemented configured filters.

7. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 6 including operator-set commands for activating said inference engine by supplying, generating and modifying filters based upon (w) continuous ON, (x) a predetermined number of supplying data cycles, (y) a predetermined supply data time, and a concept or contextual relationship of inferred keywords;

applying the activated inference engine to said sensitive content and said select content in said respective filter.

8. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 1 wherein organizing includes one or more of (i) storing said filtered data throughput, (ii) copying said filtered data throughput, (iii) distributing the filtered data throughput.

9. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 8 including basing said data throughput upon an information request.

10. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 9 wherein the requested data throughput is a requested data document or data object.

11. A method of creating an information infrastructure for processing data throughput in a distributed computing system with respective ones of a plurality of enterprise designated filters, comprising:

identifying sensitive content and select content in said data throughput with initially configured designated filters, said sensitive content represented by one or more sensitive words, characters, images, data elements or data objects therein grouped into a plurality of sensitivity levels, each with a security clearance, said select content represented by one or more predetermined words, characters, images, data elements or data objects,

providing in said distributed computing system a plurality of secure sensitive content data stores for respective ones of said plurality of sensitivity levels and a plurality of select content data stores for respective designated select content filters,

operatively coupling said initially designated filters, over a communications network with said distributed computing system, said plurality of sensitive content data stores and said select content data stores;

altering, with operator imposed selection, said initially configured designated filters by;

(a) expanding one or both of said sensitive content and said select content in said designated filter, (b) contracting or reducing one or both of said sensitive content and said select content in said designated filter, imposing or removing a hierarchical or an orthogonal classification in said designated filter;

generating modified configured designated filters based upon said alterations in said designated filter; and

,

organizing and storing said data throughput into said sensitive content data stores and said select content data stores with said modified configured filters.

12. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 11 wherein said altering is (i) per an operator command or (ii) a predetermined sequence or (iii) a predetermined event trigger.

13. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 11 including imposing a policy level hierarchical or orthogonal classification on said sensitive content and said select content and a respective designated filter.

14. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 11 wherein the step of altering occurs per operator command and enables said operator to add and delete the steps of expanding, contracting and imposing classifications.

15. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 11 including

supplying an inference engine with one or both of said sensitive content and said select content as one said initially designated filter and operative with one or more of:

(i) external data from sources outside said enterprise, (ii) internal data from one or both of said secure content data stores and said select content data stores;

generating inferred keywords from said inference engine having a relevancy to one or both of said sensitive content and said select content in said initially designated filters and supplementing said initially designated filters therewith.

16. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 15 including reorganizing said data throughput with the supplemented configured filters.

17. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 16 including operator-set commands for activating said inference engine by supplying, generating and modifying filters based upon (w) continuous ON, (x) a predetermined number of supplying data cycles, (y) a predetermined supply data time, and a correlation of inferred keywords to said one or both of said sensitive content and said select content in said designated filter.

18. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 11 wherein organizing includes one or more of (i) storing the filtered data throughput, (ii) copying the filtered data throughput, (iii) distributing the filtered data throughput.

19. The method of creating an information infrastructure for processing data throughput in said distributed computing system as claimed in claim 18 including basing a data throughput upon an information request.

20. A method for processing data throughput with an information infrastructure in a distributed computing system with respective ones of a plurality of filters and a plurality of sensitive content data stores and a plurality of select content data stores for respective filters operatively coupled together over a communications network, comprising:

providing a plurality of sensitive content filters, said sensitive content represented by one or more sensitive words, characters, images, data elements or data objects therein, said sensitive content data grouped into respective ones of a plurality of sensitivity levels;

providing a plurality of select content filters represented by one or more select words, characters, images, data elements or data objects therein grouped into a plurality of select sensitivity levels, said select content represented by one or more predetermined words, characters, images, data elements or data objects,

permitting operator selection of at least one of said plurality of sensitive content filters and said plurality of select content filters, in conjunction with selection of one or more of;

(a) expansion of content in a designated filter, (b) contraction or reduction of content in said designated filter, (c) imposing or removing a hierarchical or an orthogonal classification thereon, (d) designation of data collections relative to the expansion or contraction or reduction or imposition or removal;

(e) limiting expansion or contraction results, and, (f) imposing a time limit thereon;

generating modified filters as saved profiles for future use based upon said operator selection; and

,

organizing a further data throughput in said distributed computing system with said saved profiles.