System and method for identity recognition of an individual for enabling an access to a secured system

• US 20040172562A1
• Filed: 03/01/2003
• Published: 09/02/2004
• Est. Priority Date: 03/01/2003
• Status: Abandoned Application

• Current Assignee: Sergey Sapronov, Vladimir Berger
• Original Assignee: Sergey Sapronov, Vladimir Berger
• Inventors: Berger, Vladimir, Sapronov, Sergey
• Application Number:
  US10/378,408
• Publication Number:
  US 20040172562A1
• Time in Patent Office: Days
• US Class Current: 713/202
• CPC Class Codes: G06F 21/316 by observing the pattern of computer usage, e.g. typical user behaviour

Abstract

A system and method of the invention for identity recognition based on the code input pattern are highly secure and simple. The system and the method prevent unauthorized access to a secured system by assuming that prior to the identification there should be a validation process. During the validation process a user inputs one or more times the patterns of the code or password entry, and the system measures and stores parameters of the input pattern that are unique to each user (for example, time delay between inputs of the adjacent symbols, time of holding each key depressed or other specific series of activities). These parameters form the user identity data validation pattern. When the user actually requests access to the secured system and submits the entry code, these parameters are measured again and compared against the previously stored data validation pattern to validate the identity of the user. The access to the secured system is granted or denied depending on the result of this comparison.

Claims

1. A method for identity recognition of an individual for enabling an access to a secured system based on a code input pattern, comprising the steps of:

providing said secured system with identification means for unabling access to said secured system for an unauthorized individual;

providing said identification means with an identification code that can be entered by said individual through said code input pattern, said code input pattern incorporating hidden characteristics which are invisible but uniquely inherent in said individual to the extent that they can be used for identification of said individual;

entering said identification code by said individual to said identification means;

measuring said hidden characteristics for obtaining code input pattern information;

providing said secured system with a reference input pattern information that enables access to said secured system;

comparing said code input pattern information with said reference input pattern information; and

enabling the access of said individual to said secured system if said code input pattern information coincides with said reference input pattern information.

2. The method of claim 1, wherein said step of entering said identification code comprising a movement performed by said individual.

3. The method of claim 1, wherein said input pattern information comprising at least one signal having a starting point and an ending point.

4. The method of claim 2, wherein said input pattern information comprising at least one signal having a starting point and an ending point.

5. The method of claim 4, wherein said movement is selected from the group consisting of rotation, linear movement, and pushing on at least one of signal entering members selected from a button, a pedal, a rotating knob, and a moveable linear slider.

6. The method of claim 1, wherein said input pattern information comprises a plurality of signals, each signal of said plurality having a starting point and an ending point.

7. The method of claim 6, wherein said step of measuring said hidden characteristics comprising registration of said starting point and of said ending point of each of said signals, calculation of a time interval between at least two signals of said plurality, and determining a statistical relationship between said at least two signals.

8. The method of claim 1, wherein said step of entering said identification code into said identification means is repeated with a plurality of entry sessions and with memorizing said hidden characteristics in each of said entry session for statistical determination of reference relationships between said hidden characteristics;

said step of enabling the access to said secured system taking place when said input pattern information coincides with said reference relationships.

9. The method of claim 8, wherein said identification means comprises a keyboard with a plurality of keys, said starting point and said ending point of each of said signals comprising a moment of pushing on each of said keys, which is pushed for said step for entering said identification code, and a moment of releasing said each of said keys, respectively.

10. The method of claim 5, wherein said step of entering said identification code into said identification means is repeated with a plurality of entry sessions and with memorizing said hidden characteristics in each of said entry session for statistical determination of reference relationships between said hidden characteristics;

said step of enabling the access to said secured system taking place when said input pattern information coincides with said reference relationships.

11. The method of claim 10, wherein said identification means comprises a keyboard with a plurality of keys, said starting point and said ending point of each of said signals comprising a moment of pushing on each of said keys, which is pushed for said step for entering said identification code, and a moment of releasing said each of said keys, respectively.

12. The method of claim 1, wherein said reference input pattern information is presented in the form of a normal probability density distribution range for said identification code.

13. The method of claim 5, wherein said reference input pattern information is presented in the form of a normal probability density distribution range for said identification code.

14. The method of claim 7, wherein said reference input pattern information is presented in the form of a normal probability density distribution range for said identification code.

15. The method of claim 8, wherein said reference relationships are presented in the form of a normal probability density distribution range for said identification code.

16. A secure system for identity recognition of an individual for enabling an access to a secured system to an authorized individual and unabling said access to an unauthorized individual on the basis of a code input pattern, said system comprising:

at least one code input unit for inputting an identification code to said secure system, said identification code can be entered by said individual through said code input pattern and incorporates hidden characteristics which are invisible but uniquely inherent in said individual to the extent that they can be used for identification of said individual;

at least one memory unit for memorizing at least said identity code;

a processor connected to said at least one code input unit and said at least one memory unit for processing information obtained from said at least one code input unit and said memory unit;

a program that is stored in said at least one memory unit and provides the following steps under control of said processor;

entering said identification code by said individual to said secure system;

measuring said hidden characteristics for obtaining a code input pattern information

providing said secured system with a reference input pattern information that enables access to said secured system;

comparing said code input pattern information with said reference input pattern information; and

enabling the access of said individual to said secured system if said code input pattern information coincides with said reference input pattern information.

17. The system of claim 16, wherein said step of entering said identification code comprises a movement performed by said individual.

18. The system of claim 16, wherein said input pattern information comprising at least one signal having a starting point and an ending point.

19. The system of claim 17, wherein said input pattern information comprising at least one signal having a starting point and an ending point.

20. The system of claim 19, wherein said movement is selected from the group consisting of rotation, linear movement, and pushing on at least one of signal entering members selected from a button and a pedal.

21. The system of claim 16, wherein said input pattern information comprises a plurality of signals, each signal of said plurality having a starting point and an ending point.

22. The system of claim 21, wherein said at least one code input unit comprises a keyboard with a plurality of keys, said starting point and said ending point of each of said signals comprising a moment of pushing on each of said keys, which is pushed for said step for entering said identification code, and a moment of releasing said each of said keys, respectively.

23. The system of claim 16, wherein said step of entering said identification code into said secure system is repeated with a plurality of entry sessions and with memorizing said hidden characteristics in each of said entry session for statistical determination of reference relationships between said hidden characteristics;

said step of enabling the access to said secured system taking place when said input pattern information coincides with said reference relationships.

25. The system of claim 22, wherein said step of entering said identification code into said secure system is repeated with a plurality of entry sessions and with memorizing said hidden characteristics in each of said entry session for statistical determination of reference relationships between said hidden characteristics;

said step of enabling the access to said secured system taking place when said input pattern information coincides with said reference relationships.

24. The system of 23, wherein said reference relationships are presented in the form of a normal probability density distribution range for said identification code.

26. The system of 25, wherein said reference relationships are presented in the form of a normal probability density distribution range for said identification code.