IP Library Granted Patent US 8,375,020
Granted Patent B1
US 8,375,020 · App. 11/642,794 · Granted Feb 12, 2013

Methods and apparatus for classifying objects

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Quick Facts
Patent No.
US 8,375,020
App. No.
11/642,794
Granted
Feb 12, 2013
Kind
B1
Abstract

An object classification system is provided that receives, from a user, at least one piece of information relating to the object, wherein the information does not directly specify a classification for the object, and that applies at least one rule that classifies the object based, at least in part, on the at least one piece of information received from the user. The techniques described herein also enable classifying an object by, in response to a request from at least one application to access the object, applying at least one rule that dynamically classifies the object.

Claims (37)

1. A computer-implemented method of classifying an object in an object classification system, the method comprising:

(A) receiving a first request from at least one user to access the object;

(B) providing a user interface for prompting the at least one user to provide information relating to the object;

(C) receiving, from at least one user information relating to the object, wherein the information does not directly specify a classification for the object;

(D) applying, by at least one computer, at least one security classification rule that classifies the object based, at least in part, on the information received from the at least one user;

(E) storing the information after applying the security classification rule that classifies the object;

(F) receiving a second request from the at least one user to access the object; and

(G) applying, by the at least one computer, in response to the second request from the at least one user to access the object, at least one modified security classification rule to re-classify the object based, at least in part, on the information received from the at least one user.

2. The computer-implemented method of claim 1 , wherein (D) is performed in response to a request from at least one application to access the object so that the object is dynamically classified in response to the request to access the object.

3. The computer-implemented method of claim 1 , wherein (D) comprises applying at least one security classification rule that classifies the object based, at least in part, on the information received from the user and at least one piece of information automatically gathered without being received from the user.

4. The computer-implemented method of claim 1 , wherein (C) is performed in response to a first request from at least one application to access the object, and wherein (G) is performed in response to a second request from the at least one application to access the object.

5. The computer-implemented method of claim 4 , wherein the at least one application comprises at least a first application and a second application, wherein (C) is performed in response to a request from the first application to access the object, and wherein (G) is performed in response to a request from the second application to access the object.

6. The computer-implemented method of claim 1 , further comprising prompting a user to provide the information about the object in (C) when the object is registered with the classification system.

7. At least one non-transitory computer readable medium encoded with a plurality of instructions that, when executed on a computer system, perform a method for classifying an object in an object classification system, the method comprising:

(A) receiving a first request from at least one user to access the object;

(B) providing a user interface for prompting the at least one user to provide information relating to the object;

(C) receiving, from at least one user information relating to the object, wherein the information does not directly specify a classification for the object;

(D) applying, by at least one computer, at least one security classification rule that classifies the object based, at least in part, on the information received from the at least one user;

(E) storing the information after applying the security classification rule that classifies the object;

(F) receiving a second request from the at least one user to access the object; and

(G) applying, by the at least one computer, in response to the second request from the at least one user to access the object, at least one modified security classification rule to re-classify the object based, at least in part, on the information received from the at least one user.

8. The non-transitory computer readable medium of claim 7 , wherein (D) is performed in response to a request from at least one application to access the object so that the object is dynamically classified in response to the request to access the object.

9. The non-transitory computer readable medium of claim 7 , wherein (D) comprises applying at least one security classification rule that classifies the object based, at least in part, on the information received from the user and at least one piece of information automatically gathered without being received from the user.

10. The non-transitory computer readable medium of claim 7 , wherein (C) is performed in response to a first request from at least one application to access the object, and wherein (G) is performed in response to a second request from the at least one application to access the object.

11. The non-transitory computer readable medium of claim 10 , wherein the at least one application comprises at least a first application and a second application, wherein (C) is performed in response to a request from the first application to access the object, and wherein (G) is performed in response to a request from the second application to access the object.

12. The non-transitory computer readable medium of claim 7 , wherein the method further comprises prompting a user to provide the information about the object in (C) when the object is registered with the classification system.

13. At least one computer comprising:

at least one processor programmed to implement an object classification system that classifies objects, the processor programmed to, receive, from at least one user, information that relates to an object but does not directly specify a classification for the object, apply at least one security classification rule that classifies the object based, at least in part, on the information received from the at least one user, store the information after applying the security classification rule that classifies the object, receive a second request from the at least one user to access the object, and, in response to the second request from the at least one user to access the object, apply at least one modified security classification rule to re-classify the object based, at least in part, on the information received from the at least one user.

14. The computer of claim 13 , wherein the processor is programmed to apply the security classification rule that classifies the object in response to a request from at least one application to access the object so that the object is dynamically classified in response to the request to access the object.

15. A computer-implemented method of classifying an object in an object classification system, the method comprising:

receiving a first request from at least one user to access the object;

receiving at least one piece of information relating to the object, wherein the information is automatically generated and does not directly specify a classification for the object;

applying, by at least one computer, at least one security classification rule that classifies the object based on the automatically generated piece of information;

receiving, from at least one user, information relating to the object, wherein the information does not directly specify a classification for the object;

storing the information received from the at least one user;

receiving a second request from the at least one user to access the object; and

applying, by the at least one computer, in response to the second request from the at least one user to access the object, at least one modified security classification rule to re-classify the object based, at least in part, on the automatically generated information.

Assignments (9)
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (053546/0001) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC IP HOLDING COMPANY LLC
Reel/Frame 071642/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (045455/0001) Recorded May 20, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO ASAP SOFTWARE EXPRESS, INC.); DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC CORPORATION (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MAGINATICS LLC); EMC IP HOLDING COMPANY LLC (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MOZY, INC.); SCALEIO LLC
Reel/Frame 061753/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (040136/0001) Recorded Apr 26, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO ASAP SOFTWARE EXPRESS, INC.); DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC CORPORATION (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MAGINATICS LLC); EMC IP HOLDING COMPANY LLC (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MOZY, INC.); SCALEIO LLC
Reel/Frame 061324/0001 →
RELEASE OF SECURITY INTEREST Recorded Nov 3, 2021
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
To: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL, L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; WYSE TECHNOLOGY L.L.C.
Reel/Frame 058216/0001 →
SECURITY AGREEMENT Recorded Apr 22, 2020
From: CREDANT TECHNOLOGIES INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 053546/0001 →
SECURITY AGREEMENT Recorded Mar 21, 2019
From: CREDANT TECHNOLOGIES, INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 049452/0223 →
SECURITY AGREEMENT Recorded Sep 21, 2016
From: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; SPANNING CLOUD APPS LLC; WYSE TECHNOLOGY L.L.C.
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
Reel/Frame 040136/0001 →
SECURITY AGREEMENT Recorded Sep 21, 2016
From: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; SPANNING CLOUD APPS LLC; WYSE TECHNOLOGY L.L.C.
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, AS COLLATERAL AGENT
Reel/Frame 040134/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 30, 2007
From: ROGERS, KENNETH ALLEN; HADDEN, ALLEN D.; BRUCE, JOHN W.; GIROUX, DAVID
To: EMC CORPORATION
Reel/Frame 019355/0459 →