METHOD AND A SYSTEM FOR DATA VERIFICATION AND/OR AUTHENTICATION

• US 20110047158A1
• Filed: 04/21/2009
• Published: 02/24/2011
• Est. Priority Date: 04/30/2008
• Status: Active Grant

• Current Assignee: Privacy Inside Limited
• Original Assignee: Privacy Inside Limited
• Inventors: Cohen, Roy
• Granted Patent: US 8,914,369 B2
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 21/606 by securing the transmission between two devices or processes
• CPC Class Codes: G06F 21/6209 to a single file or object, e.g. in a secure envelope, encrypted and accessed using a key, or with access control rules appended to the object itself
• CPC Class Codes: G06F 2221/2107 File encryption
• CPC Class Codes: G06F 7/22 Arrangements for sorting or merging computer data on continuous record carriers, e.g. tape, drum, disc
• CPC Class Codes: G06F 7/76 Arrangements for rearranging, permuting or selecting data according to predetermined rules, independently of the content of the data
• CPC Class Codes: G06F 9/46 Multiprogramming arrangements

Abstract

A method for rearranging a data segment. The method comprises providing a data segment containing digital content, generating a set of human dependent variables according to a plurality of human related activities, rearranging the data segment according to the set of human dependent variables, and updating a log according to the rearranging. The digital content may be retrieved from the rearranged data segment according to the log.

Claims

1. A method for rearranging a data segment, comprising:

providing a data segment containing digital content;

generating a set of human dependent variables according to a plurality of human related activities;

rearranging said data segment according to said set of human dependent variables; and

updating a log according to said rearranging;

wherein said digital content is retrieved from said rearranged data segment according to said log.

2. The method of claim 1, further comprising adding unrelated content to said data segment before said rearranging.

3. The method of claim 1, wherein said generating is performed by a computing unit, said generating comprising recording said plurality of human related activates from a routine operation of said computing unit by a human user.

4. The method of claim 3, wherein said routine operation is an input recorded from a group consisting of manipulating of a mouse pointer and typing a sequence of letters.

5. The method of claim 3, wherein said recording comprises recording an audio print of the voice of said user, said human characteristics comprises features extracted from said audio print.

6. The method of claim 3, wherein said recording comprises recording a fingerprint of the voice of said user, said human characteristics comprises features extracted from said fingerprint.

7. The method of claim 3, wherein said recording comprises analyzing information related to a profile of said user, said human characteristics comprises features extracted from said analysis.

8. The method of claim 3, wherein said generating is performed by a computing unit, said recording comprises capturing at least one biometric characteristic related to a user operating said computing unit.

9. The method of claim 8, wherein said at least one biometric characteristic comprises features extracted from an image of said user.

10. The method of claim 1, further comprising compressing said data segment before said rearranging.

11. The method of claim 1, wherein said rearranging comprises dividing said data segment to a plurality of arrays and rearranging said plurality of arrays according to said human dependent variables.

12. The method of claim 11, wherein said plurality of arrays comprises at least one of a subgroup of arrays each having a different size and a subgroup of arrays each having a different number of dimensions.

13. The method of claim 11, wherein said dividing is performed according to said human dependent variables.

14. The method of claim 11, wherein the digital content which is stored in at least one of said plurality of arrays is rearranged according to said human dependent variables.

15. The method of claim 11, wherein said rearranging comprises further rearranging said divided rearranged data segment according to said human dependent variables.

16. The method of claim 11, wherein said rearranging comprises dividing said set of human dependent variables to a plurality of subsets and using each said subset for rearranging at least one of said plurality of arrays.

17. The method of claim 1, wherein said method is executed using a computing unit, said rearranging comprising halting a plurality of processes executed on said computing unit during said rearranging.

18. The method of claim 1, further comprising dividing said data segment to a plurality of data sub-segments and spreading said plurality of data sub-segments among a plurality of computing units;

wherein said digital content is retrieved after said plurality of data sub-segments are gathered.

19. The method of claim 1, further comprising dividing said log to a plurality of subsets and spreading said plurality of subsets among a plurality of computing units;

wherein said digital content is retrieved after said plurality of subsets being gathered to reconstruct said log.

20. The method of claim 1, wherein said digital content comprises identification information related to an article, further comprising using said rearranged data log for tagging for said article.

21. The method of claim 20, wherein said tagging allows the authentication of said article.

22. The method of claim 1, wherein said data segment is hosted in a memory device, said method being performed in response to a deletion of information stored in said data segment.

23. A method for forwarding a data segment, comprising:

providing a data segment containing digital content at a source computing unit;

generating a set of human dependent variables according to a plurality of human related activities;

rearranging said data segment according to said set of human dependent variables;

logging said rearranging in a rearranging log; and

forwarding said rearranged data segment and said rearranging log to a target computing unit.

24. The method of claim 23, wherein said target computing unit may retrieve said digital content from said rearranged data segment by using said set of human dependent variables according to said rearranging log.

25. The method of claim 23, further comprising verifying said target computing unit before said forwarding.

26. The method of claim 25, wherein said verifying is based on at least one of the internet protocol (IP) address, the media access control (MAC), and the hardware identification of said target computing unit.

27. The method of claim 23, wherein said forwarding comprises halting a communication of at least one of said source and target computing unit.

28. The method of claim 23, wherein said forwarding comprises separately forwarding said rearranged data segment to said rearranging log target computing unit.

29. The method of claim 23, wherein said forwarding is performed over a peer-to-peer (P2P) connection.

30. The method of claim 23, wherein said generating comprises:

a) generating a first segment of said human dependent variables in said source computing unit;

b) generating a second segment of said human dependent variables in said target computing unit; and

c) combining said first and second segments for generating said set of human dependent variables.

31. The method of claim 30, further comprising:

forwarding said first segment to said target computing unit before said b);

allowing said target computing unit to use said first segment for rearranging said second segment and forwarding said rearranged second segment to said source network before said c); and

allowing said source computing unit to use said first segment for retrieving said second segment from said rearranged second segment before said c);

wherein said combining is separately performed in each said computing unit.

32. A system for rearranging a data segment, comprising:

an input module configured for receiving a data segment containing digital content;

a capturing module configured for recording a plurality of human related activities and generating a set of human dependent variables accordingly;

a rearranging module configured for rearranging said data segment according to said set of human dependent variables; and

a logging module configured for logging said rearranging, thereby to allow the retrieving of said digital content from said rearranged data segment.

33. A method for generating a unique identification tag to an article, said method comprising:

providing an identification segment containing identification information;

generating a set of random variables according to a plurality of human related activities;

rearranging said identification segment according to said set of random variables; and

tagging an article with said rearranged identification segment;

wherein said identification segment is retrieved using a log of said rearranging.

34. The method of claim 33, wherein said random variables are human dependent variables generated according to a plurality of human related activities.

35. The method of claim 33, wherein said tagging comprises associating said article with a tag comprising said rearranged identification segment, said tag being selected from a group consisting of:

a barcode, a radio frequency identification (RFID) tag, a machine-readable visual representation, and a machine-readable audio representation.

36. The method of claim 33, further comprising allowing an authentication of said article by said retrieved identification segment.