DETECTION OF UNSOLICITED ELECTRONIC MESSAGES

• US 20060259551A1
• Filed: 05/12/2006
• Published: 11/16/2006
• Est. Priority Date: 05/12/2005
• Status: Abandoned Application

• Current Assignee: Idalis Software, Inc.
• Original Assignee: Idalis Software, Inc.
• Inventors: Caldwell, Larry Thomas Jr.
• Application Number:
  US11/383,033
• Publication Number:
  US 20060259551A1
• Time in Patent Office: Days
• US Class Current: 709/204
• CPC Class Codes: H04L 51/212 using filtering or selective blocking

Abstract

The detection of unsolicited electronic messages is provided for by searching for pre-formatted text indicative of point-of-contact information in the body of an electronic message. A plurality of electronic messages is received, including a first electronic message and a second electronic message, each electronic message including a header portion and a body portion. The body portion of the first electronic message is searched for pre-formatted text indicative of point-of-contact information, and at least a subset of the plurality of electronic messages, the subset including the second electronic message, is searched for the pre-formatted text. The second electronic message is identified as including the pre-formatted text based upon the searching of at least the subset of the plurality of electronic messages, and the first electronic message is flagged as unsolicited based at least upon the identifying of the second electronic message.

Claims

1. A method for detecting an unsolicited electronic message, comprising the steps of:

receiving a plurality of electronic messages, including a first electronic message and a second electronic message, each electronic message including a header portion and a body portion;

tokenizing the body portion of the first electronic message;

searching the body portion of the first electronic message for pre-formatted text indicative of point-of-contact information;

searching at least a subset of the plurality of electronic messages, the subset including the second electronic message, for the pre-formatted text at the message server;

identifying the second electronic message as including the pre-formatted text based upon the searching of at least the subset of the electronic messages;

comparing the first electronic message to the second electronic message;

comparing the pre-formatted text to an unauthorized database;

subjecting the first electronic message to a manual review;

generating a delete signal and the unauthorized database based upon the manual review; and

flagging the first electronic message as unsolicited based at least upon the identifying of the second electronic message, the comparing of the first electronic message to the second electronic message, the comparing of the pre-formatted text to the unauthorized database, and/or the generating of the delete signal.

2. A method for detecting an unsolicited electronic message, comprising the steps of:

receiving a plurality of electronic messages, including a first electronic message and a second electronic message, each electronic message including a header portion and a body portion;

searching the body portion of the first electronic message for pre-formatted text indicative of point-of-contact information;

searching at least a subset of the plurality of electronic messages, the subset including the second electronic message, for the pre-formatted text;

identifying the second electronic message as including the pre-formatted text based upon the searching of at least the subset of the plurality of electronic messages; and

flagging the first electronic message as unsolicited based at least upon the identifying of the second electronic message.

3. The method according to claim 2, wherein searching the body portion of the first electronic message for pre-formatted text indicative of point-of-contact information further comprises looking for a data matching pattern recognized as billing contact pattern.

4. The method according to claim 3, wherein searching at least the subset of the plurality of electronic messages for the pre-formatted text further comprises looking in the plurality of electronic messages, except for the first electronic message, for the data matching pattern recognized as the billing contact pattern found in the first electronic message.

5. The method according to claim 4, wherein identifying the second electronic message as including the pre-formatted text based upon the searching of at least the subset of electronic messages further comprises designating the second electronic message as containing the data matching pattern recognized as the billing contact pattern based upon finding the data matching pattern in the second electronic message.

6. The method according to claim 2, further comprising the step of comparing the first electronic message to the second electronic message, wherein flagging the first electronic message as unsolicited is also based upon the comparing of the first electronic message to the second electronic message.

7. The method according to claim 6,

wherein comparing the first electronic message and the second electronic message further comprises comparing a size of the first electronic message with a size of the second electronic message, and

wherein the first electronic message is flagged as unsolicited if the size of the first electronic message is within a predetermined threshold of the size of the second electronic message.

8. The method according to claim 6,

wherein comparing the first electronic message and the second electronic message further comprises comparing origin data from the header of the first electronic message with origin data from the header of the second electronic message, and

wherein the first electronic message is flagged as unsolicited if origin data from the header of the first electronic message is different than origin data from the header of the second electronic message.

9. The method according to claim 2, further comprising the step of subjecting the first electronic message to a review, wherein flagging the first electronic message as unsolicited is also based upon the subjecting of the first electronic message to the review.

10. The method according to claim 9, wherein the review is a manual review.

11. The method according to claim 9, wherein the review is an automated review.

12. The method according to claim 9,

wherein subjecting the first electronic message to the review further comprises comparing the pre-formatted text to an authorized database,

wherein the electronic message is flagged as unsolicited if the pre-formatted text does not exist in the authorized database.

13. The method according to claim 9,

wherein subjecting the first electronic message to the review further comprises comparing the pre-formatted text to an unauthorized database,

wherein the electronic message is flagged as unsolicited if the pre-formatted text exists in the unauthorized database.

14. The method according to claim 2, wherein the first electronic message is an electronic mail message, a text message, or an instant message.

15. The method according to claim 2, wherein the pre-formatted text is a telephone number, an e-mail address, a uniform resource locator, an instant message address, a mailing address, or a stock symbol.

16. The method according to claim 2, further comprising the step of tokenizing the body portion of the first electronic message.

17. The method according to claim 2, further comprising the step of deleting the flagged first electronic message.

18. The method according to claim 2, wherein identifying the second electronic message is based upon the pre-formatted text existing in the body of the second electronic message.

19. A device for detecting an unsolicited electronic message, comprising:

a receiver module configured to receive a plurality of electronic messages, including a first electronic message and a second electronic message, each electronic message including a header portion and a body portion;

a search module configured to search the body portion of the first electronic message for pre-formatted text indicative of point-of-contact information, search at least a subset of the plurality of electronic messages, the subset including the second electronic message, for the pre-formatted text, and further configured to identify the second electronic message as including the pre-formatted text based upon the searching of at least the subset of the plurality of messages; and

an indicator module configured to flag the first electronic message as unsolicited based at least upon the identifying of the second electronic message.

20. The device according to claim 19, further comprising a comparison module configured to compare the first electronic message to the second electronic message,

wherein the indicator module is configured to flag the first electronic message as unsolicited also based upon the comparing of the first electronic message to the second electronic message.

21. The device according to claim 20,

wherein the comparison module compares a size of the first electronic message with a size of the second electronic message, and

wherein the indicator module is configured to flag the first electronic message as unsolicited if the size of the first electronic message is within a predetermined threshold of the size of the second electronic message.

22. The device according to claim 20,

wherein the comparison module compares origin data from the header of the first electronic message with origin data from the header of the second electronic message, and

wherein the indicator module is configured to flag the first electronic message as unsolicited if origin data from the header of the first electronic message is different than origin data from the header of the second electronic message.

23. The device according to claim 19, further comprising a review module configured to subject the first electronic message to a review,

wherein the indicator module is configured to flag the first electronic message as unsolicited also based upon the subjecting of the first electronic message to the review.

24. The device according to claim 23, further comprising an authorized database,

wherein the review module is configured to compare the pre-formatted text to the authorized database, and

wherein the indicator module is configured to flag the electronic message as unsolicited if the pre-formatted text does not exist in the authorized database.

25. The device according to claim 19, further comprising an unauthorized database,

wherein the review module is configured to compare the pre-formatted text to the unauthorized database, and

wherein the indicator module is configured to flag the electronic message as unsolicited if the pre-formatted text exists in the unauthorized database.

26. The device according to claim 19, wherein the first electronic message is an electronic mail message, a text message, or an instant message.

27. The device according to claim 19, wherein the pre-formatted text is a telephone number, an e-mail address, a uniform resource locator, an instant message address, a mailing address, or a stock symbol.

28. The device according to claim 19, further comprising a tokenizer module configured to tokenize the body portion of the first electronic message.

29. The device according to claim 19, wherein the indicator module is further configured to deleting the flagged first electronic message.

30. The device according to claim 19, wherein the search module identifies the second electronic message as including the pre-formatted text based upon finding the pre-formatted text in the body of the second electronic message.

31. A system for detecting an unsolicited electronic message, comprising:

a central database server, further comprising;

a central database receiver module configured to receive a first electronic message,

a manual review module configured to manually review the first electronic message,

a central database indicator module configured to generate the delete signal and an unauthorized database based upon the manual review of the first electronic message, and

a central database transmitter module configured to transmit the delete signal and the unauthorized database; and

a message server, further comprising;

a message server receiver module configured to receive the unauthorized database, the delete signal, and a plurality of electronic messages, including the first electronic message and a second electronic message, each electronic message including a header portion and a body portion,

a tokenizer module configured to tokenize the body portion of the first electronic message,

a search module configured to search the body portion of the first electronic message for pre-formatted text indicative of point-of-contact information, search at least a subset of the plurality of electronic messages, the subset including the second electronic message, for the pre-formatted text, and further configured to identify the second electronic message as including the pre-formatted text based upon the searching of at least the subset of the plurality of electronic messages and finding the pre-formatted text in the body of the second electronic message,

a comparison module configured to compare the first electronic message to the second electronic message,

an automated review module configured compare the pre-formatted text to the unauthorized database,

a message server indicator module configured to flag the first electronic message as unsolicited based at least upon the identifying of the second electronic message, upon the comparing of the first electronic message to the second electronic message, upon the comparing the pre-formatted text to the unauthorized database, and/or upon receiving the delete signal, and

a message server transmitter module configured to transmit the first electronic message to said central database server.

32. A computer program product, tangibly stored on a computer-readable medium, for detecting an unsolicited electronic message, the product comprising instructions for permitting a computer to perform:

a receiving step for receiving a plurality of electronic messages, including a first electronic message and a second electronic message, each electronic message including a header portion and a body portion;

a first searching step for searching the body portion of the first electronic message for pre-formatted text indicative of point-of-contact information;

a second searching step for searching at least a subset of the plurality of electronic messages, the subset including the second electronic message, for the pre-formatted text;

an identifying step for identifying the second electronic message as including the pre-formatted text based upon the searching of at least the subset of the plurality of electronic messages; and

a flagging step for flagging the first electronic message as unsolicited based at least upon the identifying of the second electronic message.

33. The computer program product according to claim 32, the product further comprising instructions for permitting a computer to perform a comparing step for comparing the first electronic message to the second electronic message, wherein flagging the first electronic message as unsolicited is also based upon the comparing of the first electronic message to the second electronic message.

34. The computer program product according to claim 32, the product further comprising instructions for permitting a computer to perform a subjecting step for subjecting the first electronic message to a review, wherein flagging the first electronic message as unsolicited is also based upon the subjecting of the first electronic message to the review.

35. The computer program product according to claim 32, the product further comprising instructions for permitting a computer to perform a tokenizing step for tokenizing the body portion of the first electronic message.

36. The computer program product according to claim 32, the product further comprising instructions for permitting a computer to perform a deleting step for deleting the flagged first electronic message.