CN104657649B - A kind of token device of living things feature recognition start - Google Patents
A kind of token device of living things feature recognition start Download PDFInfo
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- CN104657649B CN104657649B CN201410218594.3A CN201410218594A CN104657649B CN 104657649 B CN104657649 B CN 104657649B CN 201410218594 A CN201410218594 A CN 201410218594A CN 104657649 B CN104657649 B CN 104657649B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
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- Computer Security & Cryptography (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a kind of token device of living things feature recognition start, the token device includes biometric information identification module and/or smart-tag authentication module, and dynamic password token module.When biological information registration is within threshold values, the successful information of certification is sent to dynamic password token module；Smart-tag authentication module obtains the label information for including token owner identity, if consistent with preset label information, the successful information of certification is sent to dynamic password token module.Dynamic password token module is arbitrated after obtaining the authentication result of biometric information identification module and/or smart-tag authentication module, and arbitration is by then completing boot action.The boot action that the present invention can tell token is to be made by the lawful owner of token or illegal owner makes, prevent knowledge and rejection by mistake when being identified using biological characteristic being present, in the case where electrocardio or vocal print bio signal lack one, the means of supplementing out economy of certification are identified using smart-tag authentication as biometric identity.
Description
Technical field
The present invention relates to a kind of token device, more particularly to a kind of token device of living things feature recognition start.
Background technology
The dynamic password token that existing financial institution uses, such as challenge/response token, it is necessary to user's input it is correct it is preset
Password could carry out the calculating of dynamic password.Password is very easy to forget in use, and this traditional
Personal identification method can not accurately distinguish the lawful owner of token and illegal owner.
The content of the invention
It is an object of the invention to provide a kind of token of living things feature recognition start, the present invention first has to the technology solved
Problem is that to tell the boot action of token be to be made by the lawful owner of token or illegal owner makes, its secondary solution
Technical problem certainly is to prevent knowledge and rejection by mistake when being identified using biological characteristic being present.
The present invention adopts the following technical scheme that realization：
A kind of token device of living things feature recognition start, it is characterised in that including biometric information identification module and/or mark
Sign authentication module, an and dynamic password token module, the dynamic password token module and biometric information identification module and/
Or smart-tag authentication module is connected, wherein：
The biological information of token owner is preset in the biometric information identification module, passes through biological signal collecting
Interface gathers the biological information of token owner, when the biological information registration is within threshold values, to described
Dynamic password token module sends the successful information of certification；
The label information of token owner is preset in the smart-tag authentication module, outside mark is obtained by Authentication Client
Information is signed, when the external label information is consistent with preset label information, certification is sent to the dynamic password token module
Successful information；
The dynamic password token module must can enable corresponding dynamic after by token owner authentication
Token function, the mode for carrying out token owner authentication are：Obtaining biometric information identification module and/or smart-tag authentication mould
Arbitrated after the authentication result of block, if the comparison result of biological information exceedes registration threshold values, token owner
Authentication success, or：If the comparison result of biological information is recognized not less than registration threshold values, token owner identity
Demonstrate,prove unsuccessful.
Further, the biometric information identification module includes electrocardio authentication module and/or voiceprint module, wherein：
The electro-cardiologic template of token owner is preset in the electrocardio authentication module, is gathered by ecg signal acquiring interface
The ecg information of token owner, during with electro-cardiologic template information registration within threshold values, sent to dynamic password token module
Certification success correct information；
Token owner vocal print template is preset in the voiceprint module, gathering token by voice input device gathers around
The voiceprint for the person of having, during with vocal print Template Information registration within threshold values, to dynamic password token module send certification into
Work(correct information.
Further, the Authentication Client can be a variety of individual terminal devices such as mobile phone, tablet personal computer, computer.
Further, the Authentication Client is connected with the token that living things feature recognition is started shooting, for by Authentication Client
The encryption label information of middle storage is supplied to smart-tag authentication module, and encryption label information is decrypted the smart-tag authentication module
After compare label substance, complete smart-tag authentication.
Further, the Authentication Client is connected by interface with token product, and the interface includes bluetooth, NFC, shown
Display screen, infrared, earphone, microphone or loudspeaker.
Further, it is provided with electrocardiosignal measurement sensor in the electrocardio authentication module.
Further, the electrocardiosignal measurement sensor uses low resistance metal material, and sensor is diameter in 5-
It is circular between 15mm, or sensor is 4mm × 5mm to the rectangle between 15mm × 15mm or square, electrocardiosignal measurement passes
Sensor adopts voltage differential signal in human body quiescent condition from the bilateral hand or wrist of human body, based on electrocardiosignal, sampling
Frequency is more than 250 points/second, and sample duration is the 1-5 seconds.
Further, the vocal print signal of voice input device collection token owner, is converted to by physics or software
Digital Circuit Signal, contrast and use for living things feature recognition.
Further, the voice input device is microphone.
The present invention uses foundation of the human body biological characteristics as token lawful owner's identification, passes through multi-modal pattern
Use, it is to be made by the lawful owner of token or done by illegal owner that can not only correctly distinguish boot action
Go out, additionally it is possible to evade human body biological characteristics unobvious crowd and health exception crowd to greatest extent using biological characteristic
It is existing when being identified to know and rejection problem by mistake.The dual spirit that the present invention passes through electrocardiosignal, vocal print signal and physical tag
Combination living, makes biological characteristic realize that person identification obtains practicality.Electro-cardiologic template, the vocal print of owner is reserved in token product
Template or label information, after obtaining outside corresponding biological information by interactive interface, it is digitally converted and compares
Right, both of which comparison result exceedes registration threshold values, owner's authentication success.Using not chargeable, non-exchange electricity
The token product in pond in signal acquisition and comparison, it is necessary to match selection low energy-consumption electronic device and method, to ensure token product
Use life cycle.
Brief description of the drawings
Fig. 1 is the overall Structural drawing of the present invention.
Fig. 2 is the composition figure of dynamic password token.
Fig. 3 is electrocardiosignal schematic diagram.
Fig. 4 is the processing identification process figure of ecg information collection interface.
Fig. 5 is the processing identification process figure of information of acoustic wave acquisition interface.
Fig. 6 is living things feature recognition process chart.
Embodiment
By the following description to embodiment, it will more contribute to public understanding of the invention, but can't should be by Shen
Given specific embodiment of asking someone is considered as the limitation to technical solution of the present invention, any definition to part or technical characteristic
Be changed and/or make form to overall structure and immaterial conversion is regarded as what technical scheme was limited
Protection domain.
Biometrics identification technology carries out person identification using the physiology or behavioural characteristic of human individual itself, can
Include for the physiological characteristic of person identification：Electrocardio, vocal print, iris, face, fingerprint, palmmprint, auricle, retina etc.
Biological characteristic, and the behavioural characteristic such as the action of signature, the gait walked, dynamics of percussion keyboard.Biometrics identification technology
Can inherently solve the deficiency in traditional identity identification technology, it is in recent years, fast with computing technique and identification technology
Speed is progressive, and biometrics identification technology has obtained swift and violent development, has application in many fields such as government, the military, civilian,
Increasingly show its huge commercial value and social value.Compared with traditional personal identification method, living things feature recognition
Technology has the advantages that will not to forget or lose, be not easy to forge or be stolen, carries with and can use whenever and wherever possible.Biological characteristic
Identification has become the important way of identification.
Single for Identity Authentication Mode existing for existing dynamic password token product, what Password was easily forgotten asks
Biological characteristic is used for the start authentication link of token device by topic, the present invention, realizes a kind of multi-modal dynamic password order
Board, substitute traditional Password using biological characteristic (electrocardio identifies and Application on Voiceprint Recognition) and identify, gathered around with carrying out quick equipment
The person's of having authentication, only there are electrocardio identification or Application on Voiceprint Recognition means for the moment, the RF tag based on NFC can be introduced
Certification or the device label certification based on bluetooth, to form multi-modal authentication mode.The use of multi-modal authenticating user identification, expand
The use range and application field of dynamic password token are opened up.The dynamic token equipment of the present invention meets the low-power consumption of token product
It is required that.
Traditional dynamic password token, such as challenge/response token, when user starts shooting and calculates dynamic password, it is necessary to hold
Person first inputs default Password, and the correct dynamic password that could enter of Password verification calculates state, if user forgets
Password or continuous input Password mistake, token product enter lock-out state, it is necessary to wait automatic unlocking or by
Authentication center participates in carrying out manual unblock, and Password is in token product using above adding security, but Consumer's Experience and sense
By bad.
The present invention uses foundation of the human body biological characteristics as owner's identification, by the use of multi-modal pattern,
Human body biological characteristics unobvious crowd and health exception crowd are farthest avoided, is known using biological characteristic
It is existing when other to know and rejection problem by mistake.By the dual flexible combination of electrocardiosignal, vocal print signal and physical tag, make biology
Feature realizes that person identification obtains practicality.Electro-cardiologic template, vocal print template or the label letter of owner is reserved in token product
Breath, after obtaining outside corresponding biological information by interactive interface, it is digitally converted and compares, both of which ratio
Exceed registration threshold values, owner's authentication success to result.Using the token product of not chargeable, non-exchange battery,
Need to match selection low energy-consumption electronic device and method in signal acquisition and comparison, to ensure the use life cycle of token product.
Embodiment：
A kind of token of living things feature recognition start, including biometric information identification module and/or smart-tag authentication module, and
One dynamic password token module, dynamic password token module are connected with biometric information identification module and/or smart-tag authentication module,
Wherein：
The biological information of token owner is preset in biometric information identification module, passes through biological signal collecting interface
The biological information of token owner is gathered, when biological information registration is within threshold values, to dynamic password token
Module sends the successful information of certification；
In the present embodiment, biometric information identification module includes electrocardio authentication module and/or voiceprint module, wherein：
The electro-cardiologic template for the person that presets token in electrocardio authentication module, pass through the electrocardio that ecg signal acquiring interface gathers token owner
Information, during with electro-cardiologic template information registration within threshold values, certification success correct information is sent to dynamic password token module；
Token owner vocal print template is preset in voiceprint module, the vocal print that token owner is gathered by voice input device is believed
Breath, during with vocal print Template Information registration within threshold values, certification success correct information is sent to dynamic password token module.
As shown in Fig. 2 the dynamic password token product for chip safe to use, with customer interaction information channel, such as may be used
So that by key-press input challenge code, dynamic password is read by display screen.Wherein dynamic password token module and electrocardio certification
Module, voiceprint module, smart-tag authentication module are connected, from electrocardio authentication module, voiceprint module, smart-tag authentication module
Middle certified Information and after being arbitrated, arbitration mode is：Certification more than two by, token owner authentication into
Work(, dynamic password token module assign the right that owner's tokens carry out dynamic password calculating；Conversely, then token owner
Authentication is unsuccessful.
As shown in Figure 3 and Figure 4, electrocardiosignal measurement sensor, electrocardiosignal measurement are provided with electrocardio authentication module
Sensor uses low resistance metal material, and sensor is that diameter is circular between 5-15mm, or sensor be 4mm × 5mm extremely
Rectangle or square between 15mm × 15mm, bilateral hand of the electrocardiosignal measurement sensor in human body quiescent condition from human body
Or wrist collection voltages differential signal, based on electrocardiosignal, sample frequency is more than 250 points/second, sample duration 1-
5 seconds.The equivalent exemplary waveforms of single electrocardiosignal that are used for authentication are as shown in figure 3, P, Q, R, S, T in basic electrocardiosignal
Waveform uses as core waveform, and difference electrocardiosignal is after preposition amplification, high-pass filtering, noise elimination, rearmounted amplification, conversion
For Digital Circuit Signal, contrast and use for living things feature recognition.
As shown in figure 5, the vocal print signal of voice input device (microphone) collection token owner, by physics or soft
Part is converted to Digital Circuit Signal, contrasts and uses for living things feature recognition.Acoustic signals are needed by anti-aliasing filtering, analog-to-digital conversion
And sub-frame processing, Digital Circuit Signal is converted to, contrasts and uses for living things feature recognition.
The label information of token owner is preset in smart-tag authentication module, obtaining external label by Authentication Client believes
Breath, when external label information is consistent with preset label information, the successful information of certification is sent to dynamic password token module；Mark
Sign information to obtain by the bluetooth of token product, NFC, light sensation, infrared, earphone, microphone, speaker interface, in electrocardio or sound
In the case that line bio signal lacks one, the means of supplementing out economy as biometric identity identification certification use.
Authentication Client is connected with token, for being supplied to label to recognize the encryption stored in Authentication Client label information
Module is demonstrate,proved, smart-tag authentication module compares label substance after encryption label information is decrypted, completes smart-tag authentication.Certification client
End include mobile phone, tablet personal computer, computer, Authentication Client is connected by interface with token product, interface including bluetooth, NFC,
Display screen, infrared, earphone, microphone or loudspeaker.NFC：Near-field communication (English：Near Field Communication,
NFC), also known as wireless near field communication, is a kind of short-range high frequency wireless communication technology, it is allowed to carried out between electronic equipment non-
Contact Point-to-Point Data Transmission, data are exchanged in ten centimetres (3.9 inch).This technology is identified by non-contact radio-frequency
(RFID) develop, developed jointly by Philips Semiconductors (existing grace intelligence Pu semiconductor), Nokia and Sony, its basis
It is RFID and interconnection technique.Near-field communication is a kind of radiotechnics of short distance high frequency, and 20 lis are run in 13.56MHz frequencies
In rice distance.Near-field communication is by as the international standards of ISO/IEC IS 18092, EMCA-340 standards and ETSI TS at present
102 190 standards.NFC is using actively and passively two kinds of read modes.
Living things feature recognition is compared and is made up of pretreatment, feature extraction, biological model, pattern match, post processing, owner
Electrocardiosignal and/or vocal print signal setting in token product, i.e., by being stored in after feature extraction in biological pattern, as
Electro-cardiologic template and vocal print template use, can be by multiple training, progressively when body heath and external environment condition change
Adjustment and the change of tracking template, to adapt to the change of template characteristic.When carrying out authentication comparison, current biological signal passes through
It is compared after feature extraction with the template stored among biological pattern, after obtaining pattern match result, matches registration threshold values
Trickle adjustment can be carried out according to body heath and external environment condition change in pattern match.In post processing link to pattern
Artificial intelligence analysis is carried out with result, further to improve recognition accuracy and reduce misclassification rate.Believe in electrocardiosignal and vocal print
In the case of number being combined, the recognition accuracy of biological characteristic of the invention start token can approach and reach 100%, know by mistake
Rate reaches 0%.
Modules, functional unit in each embodiment of the present invention can be integrated among a processing module,
Can be that unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned collection
Into module can be realized in the form of hardware, can also be realized in the form of software function module.Certainly, it is of the invention
There can also be other various embodiments, in the case of without departing substantially from spirit of the invention and its essence, be familiar with those skilled in the art
Member can make various corresponding changes and deformation according to the present invention, but these change accordingly and deformation should all belong to of the invention
Appended scope of the claims.
Claims (8)
1. a kind of token device of living things feature recognition start, it is characterised in that including biometric information identification module and/or label
Authentication module, and a dynamic password token module, the dynamic password token module and biometric information identification module and/or
Smart-tag authentication module is connected, wherein：
The biological information of token owner is preset in the biometric information identification module, passes through biological signal collecting interface
The biological information of token owner is gathered, when the biological information registration is within threshold values, to the dynamic
Password token module sends the successful information of certification；
The label information of token owner is preset in the smart-tag authentication module, obtaining external label by Authentication Client believes
Breath, when the external label information is consistent with preset label information, certification success is sent to the dynamic password token module
Information；
The dynamic password token module must can enable corresponding dynamic token after by token owner authentication
Function, the mode for carrying out token owner authentication are：Obtaining biometric information identification module and/or smart-tag authentication module
Arbitrated after authentication result, if the comparison result of biological information exceedes registration threshold values, token owner identity
Certification success, or：If the comparison result of biological information is not less than registration threshold values, token owner authentication is not
Success.
2. the token device of living things feature recognition start according to claim 1, it is characterised in that the biological information is known
Other module includes electrocardio authentication module and/or voiceprint module, wherein：
The electro-cardiologic template of token owner is preset in the electrocardio authentication module, token is gathered by ecg signal acquiring interface
The ecg information of owner, during with electro-cardiologic template information registration within threshold values, certification is sent to dynamic password token module
Success correct information；
Token owner vocal print template is preset in the voiceprint module, token owner is gathered by voice input device
Voiceprint, during with vocal print Template Information registration within threshold values, certification success is being sent just to dynamic password token module
Firmly believe breath.
3. the token device of living things feature recognition start according to claim 1, it is characterised in that the Authentication Client
It is connected with token, for the encryption stored in Authentication Client label information to be supplied into smart-tag authentication module, the label is recognized
Card module compares label substance after encryption label information is decrypted, and completes smart-tag authentication.
4. the token device of living things feature recognition start according to claim 3, it is characterised in that the Authentication Client
Including mobile phone, tablet personal computer, computer, Authentication Client is connected by interface with token product, the interface include bluetooth,
NFC, display screen, infrared, earphone, microphone or loudspeaker.
5. the token device of living things feature recognition start according to claim 2, it is characterised in that the electrocardio certification mould
Electrocardiosignal measurement sensor is provided with block.
6. the token device of living things feature recognition start according to claim 5, it is characterised in that the electrocardiosignal is surveyed
Quantity sensor uses low resistance metal material, and sensor is that diameter is circular between 5-15mm, or sensor be 4mm × 5mm extremely
Rectangle or square between 15mm × 15mm, bilateral hand of the electrocardiosignal measurement sensor in human body quiescent condition from human body
Or wrist adopts voltage differential signal, based on electrocardiosignal, sample frequency is more than 250 points/second, sample duration 1-5
Second.
7. the token device of living things feature recognition start according to claim 2, it is characterised in that voice input device is adopted
Collect the vocal print signal of token owner, Digital Circuit Signal is converted to by physics or software, contrasted for living things feature recognition
Use.
8. the token device of the living things feature recognition start according to claim 2 or 7, it is characterised in that the audio is defeated
It is microphone to enter device.
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| CN104657649B true CN104657649B (en) | 2018-02-23 |
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| KR102501243B1 (en) * | 2016-04-12 | 2023-02-17 | 삼성전자주식회사 | Electronic apparatus and operating method thereof |
| CN105978907A (en) * | 2016-06-30 | 2016-09-28 | 珠海市魅族科技有限公司 | Decrypting method, device and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003296282A (en) * | 2002-03-29 | 2003-10-17 | Fujitsu Ltd | Password conversion processor |
| CN1674500A (en) * | 2005-03-23 | 2005-09-28 | 西安青松科技股份有限公司 | Dynamic cipher network identification system based on fingerprint and realizing method thereof |
| CN101098232A (en) * | 2007-07-12 | 2008-01-02 | 兰州大学 | Dynamic password and multiple biological characteristics combined identification authenticating method |
| CN102916968A (en) * | 2012-10-29 | 2013-02-06 | 北京天诚盛业科技有限公司 | Identity authentication method, identity authentication server and identity authentication device |
| CN103607282A (en) * | 2013-11-22 | 2014-02-26 | 成都卫士通信息产业股份有限公司 | Identity fusion authentication method based on biological characteristics |
-
2014
- 2014-05-23 CN CN201410218594.3A patent/CN104657649B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003296282A (en) * | 2002-03-29 | 2003-10-17 | Fujitsu Ltd | Password conversion processor |
| CN1674500A (en) * | 2005-03-23 | 2005-09-28 | 西安青松科技股份有限公司 | Dynamic cipher network identification system based on fingerprint and realizing method thereof |
| CN101098232A (en) * | 2007-07-12 | 2008-01-02 | 兰州大学 | Dynamic password and multiple biological characteristics combined identification authenticating method |
| CN102916968A (en) * | 2012-10-29 | 2013-02-06 | 北京天诚盛业科技有限公司 | Identity authentication method, identity authentication server and identity authentication device |
| CN103607282A (en) * | 2013-11-22 | 2014-02-26 | 成都卫士通信息产业股份有限公司 | Identity fusion authentication method based on biological characteristics |
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