System and method for filtering data received by a computer system

• US 20030140152A1
• Filed: 02/19/2003
• Published: 07/24/2003
• Est. Priority Date: 03/25/1997
• Status: Active Grant

• Current Assignee: Gen Digital Inc.
• Original Assignee: Symantec Corporation (NortonLifeLock Inc.)
• Inventors: Creig Humes, Donald
• Granted Patent: US 8,224,950 B2
• Time in Patent Office: Days
• US Class Current: 709/229
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04L 63/0236 Filtering by address, protocol, port number or service, e.g. IP-address or URL
• CPC Class Codes: H04L 63/0245 Filtering by information in the payload
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 63/102 Entity profiles
• CPC Class Codes: H04L 69/22 Parsing or analysis of headers
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

The present invention provides a system and method for restricting access to data received by a computer over a network by filtering certain data from the data received. In a preferred embodiment, the present invention provides a computer based method for filtering objectionable or target text data from World Wide Web pages which are received by a computer system connected to the Internet. According to the method, if the web page requested by the user contains only a minimum of objectionable or target data, the user may receive a portion of the filtered web page for downloading and viewing on his or her computer. If the web page requested contains a large amount of objectionable or target data, the invention will cause a “forbidden” page to be displayed on the user'"'"'s computer monitor.

Claims

1. A computer readable memory containing a computer program for programming a general purpose computer to perform a method for filtering a block of text data containing words received over a network, wherein said method comprises the steps of:

a) providing a listing of target words, each target word in said listing of target words having a respective score associated therewith;

b) providing a listing of target phrases, certain target phrases in said listing of target phrases having a target score associated therewith;

c) comparing each word and phrase in said block of text data to said listing of target words and said listing of target phrases to determine a score for said block of text data; and

d) filtering said block of text data based upon said determined score.

2. A computer readable memory as claimed in claim 1, said method further comprising category scores for said block of text data being determined for a plurality of categories, said filtering being based upon a determined category score for said block of text data.

3. A computer readable memory as claimed in claim 1, said method further comprising that said block of text data comprises chains of text data, each of said chains of text data having an associated base score and bonus score.

4. A computer readable memory as claimed in claim 3, said method further comprising providing a determined base score and a determined bonus score associated with said block of text data, wherein said determined base score is based upon said base scores of said chains of text data found in said block of text data and said determined bonus score is based upon said bonus scores of said chains of text data found in said block of text data.

5. A computer readable memory as claimed in claim 4, said method further comprising determining said score of said block of text data based on a total of said base score for said block of text data plus a portion of said bonus score for said block of text data.

6. A computer readable memory as claimed in claim 5, wherein said portion of said bonus score comprises up to one-third of said bonus score for said block of text data.

7. A computerized method for filtering a block of text data containing words received over a network, wherein said method comprises the steps of:

a) providing a listing of target words, each target word in said listing of target words having a respective score associated therewith;

b) providing a listing of target phrases, certain target phrases in said listing of target phrases having a target score associated therewith;

c) comparing each word and phrase in said block of text data to said listing of target words and said listing of target phrases to determine a score for said block of text data; and

d) filtering said block of text data based upon said determined score.

8. A computerized method as claimed in claim 7, further comprising determining category scores for said block of text data for a plurality of categories, said filtering being based upon a determined category score for said block of text data.

9. A computerized method as claimed in claim 8, wherein said block of text data comprises chains of text data, each of said chains of text data having an associated base score and bonus score.

10. A computerized method as claimed in claim 9, further a determined base score associated with said block of text data based upon said base scores of said chains of text data found in said block of text data and a determined bonus score for said block of text data based upon said bonus scores of said chains of text data found in said block of text data.

11. A computerized method as claimed in claim 10, further comprising determining said score of said block of text data based on a total of said base score for said block of text data plus a portion of said bonus score for said block of text data.

12. A computerized method as claimed in claim 11, wherein said portion of said bonus score comprises up to one-third of said bonus score for said block of text data.