CN105243312B - A kind of cryptographic system and encipher-decipher method - Google Patents

A kind of cryptographic system and encipher-decipher method Download PDF

Info

Publication number
CN105243312B
CN105243312B CN201510780780.0A CN201510780780A CN105243312B CN 105243312 B CN105243312 B CN 105243312B CN 201510780780 A CN201510780780 A CN 201510780780A CN 105243312 B CN105243312 B CN 105243312B
Authority
CN
China
Prior art keywords
user
password
current signal
sequence
muscle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510780780.0A
Other languages
Chinese (zh)
Other versions
CN105243312A (en
Inventor
孙国梁
倪华良
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Ao Yi Information Technology Co Ltd
Original Assignee
Shanghai Ao Yi Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Ao Yi Information Technology Co Ltd filed Critical Shanghai Ao Yi Information Technology Co Ltd
Priority to CN201510780780.0A priority Critical patent/CN105243312B/en
Publication of CN105243312A publication Critical patent/CN105243312A/en
Application granted granted Critical
Publication of CN105243312B publication Critical patent/CN105243312B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

Present invention discloses a kind of cryptographic system and encipher-decipher method, the cryptographic system includes: myoelectricity sensing terminal, password setup module, password identification module;The myoelectricity sensing terminal extracts electromyography signal characteristic value to acquire user's human skin surface's muscle electric current;The password setup module generates password to the muscle current signal acquired according to the myoelectricity sensing terminal;The password identification module is compared to the muscle current signal and setting code for acquiring the myoelectricity sensing terminal and the matching analysis, realizes the verifying of user identity.Cryptographic system proposed by the present invention obtains password by muscle current signal, Information Security can be improved.

Description

A kind of cryptographic system and encipher-decipher method
Technical field
The invention belongs to electronic information technical fields, are related to a kind of cryptographic system, more particularly to a kind of and electromyography signal knot The cryptographic system of conjunction;Meanwhile the invention further relates to a kind of encipher-decipher methods.
Background technique
Existing electronic equipment is usually encrypted by way of setting code to improve safety.However, this mode Safety it is poor, password may be intercepted and captured by wooden horse, or be obtained by other people, so as to cause classified information leakage and property damage It loses.
Meanwhile conventional cryptographic system can not verify biological characteristic (such as fingerprint, iris), so, as long as password loss, It may cause very big loss.
In view of this, nowadays there is an urgent need to design a kind of new cryptographic system, to overcome existing for existing password system Drawbacks described above.
The bio signal that human body can be observed with one kind during the motion, referred to as muscle current signal (Electromyography, EMG), the signal observed from skin surface are known as surface muscle current signal (Surface Electromyography,SEMG)。
Summary of the invention
The technical problems to be solved by the present invention are: providing a kind of cryptographic system, password is obtained by muscle current signal, Information Security can be improved.
In addition, obtaining password by muscle current signal the present invention also provides a kind of encipher-decipher method, data peace can be improved Quan Xing.
In order to solve the above technical problems, the present invention adopts the following technical scheme:
A kind of cryptographic system, the cryptographic system include: myoelectricity sensing terminal, password setup module, password identification module;
The myoelectricity sensing terminal extracts electromyography signal feature to acquire user's human skin surface's muscle electric current Value;
The password setup module generates password to the muscle current signal acquired according to the myoelectricity sensing terminal;
The password identification module is to the muscle current signal that acquires the myoelectricity sensing terminal and setting code ratio Pair and the matching analysis, realize the verifying of user identity.
As a preferred solution of the present invention, skin surface flesh of the password setup module to record setting user Meat current signal therefrom analyzes the corresponding gesture of muscle current signal;Using one group of gesture motion sequence as corresponding close Code sequence;
Muscle current signal corresponding gesture of the password identification module to identify the acquisition of myoelectricity sensing terminal, passes through Gesture motion sequence is generated after identifying at least once, by gesture motion sequence gesture motion sequence corresponding with setting code sequence Column are compared, and judge whether unanimously or in certain safe range.
As a preferred solution of the present invention, the password setup module is to according to the distinctive muscle electricity of setting user It flows signal and generates corresponding password, include the distinctive biometric identity information of the user in the password;
The password identification module is to identify the muscle current signal of myoelectricity sensing terminal acquisition and set in password Muscle current signal is compared, and judges whether unanimously or in certain safe range.
As a preferred solution of the present invention, the password setup module is to record the setting distinctive skin table of user Facial muscle meat current signal therefrom analyzes the corresponding gesture of the distinctive muscle current signal;One group of gesture motion sequence is made For corresponding keying sequence;The corresponding muscle current signal of each movement in the keying sequence includes the distinctive biology of the user Characteristic identity information characteristics;
Distinctive muscle current signal corresponding hand of the password identification module to identify the acquisition of myoelectricity sensing terminal Gesture generates gesture motion sequence after identifying at least once, gesture motion sequence gesture corresponding with setting code is moved It is compared, judges whether unanimously or in certain safe range as sequence.
As a preferred solution of the present invention, the myoelectricity sensing terminal include at least two wearable units, at least one A wearable unit is equipped with myoelectric sensor, signal processing circuit, passes through flexible connector phase between two neighboring wearable unit Even;Signal processing circuit extracts electromyography signal characteristic value, and the value is saved, analyzes, be uploaded to setting position.
As a preferred solution of the present invention, the myoelectricity sensing terminal is circular device, is set to user's arm, is used Single or multiple certain gestures movement is made at family can generate surface muscle current signal, and gesture motion is generated as keying sequence Muscle current signal sequence;
System is during carrying out feature extraction and decoding to muscle current signal sequence, in addition to doing use to gesture sequence Password match judgement in family is outer, while the identity characteristic information of user is extracted from electromyography signal, carries out user identity matching, real Appear the dual authentication mechanism of part and keying sequence.
As a preferred solution of the present invention, the identity characteristic information of user and gesture motion sequence information, as close Code, in an encrypted form, is stored in the circular device;
When the gesture motion sequence that user is done meets stored gesture motion sequence information, and the use therefrom extracted When family identity characteristic information also matches, the instruction that circular device passes through certification is sent in the form of encryption communication and needs password solution The controlled end of lock;
The secret key of encryption communication is specified when user carries out initial configuration to equipment;Identity characteristic information and gesture motion Sequence information, by doing gesture motion sequence, is produced when user carries out initial configuration to equipment by the operation of circular device scene It is raw, and be stored encrypted in equipment.
As a preferred solution of the present invention, the identity characteristic information of user and gesture motion sequence information, as close Code, in an encrypted form, is stored in controlled end or server or cloud storage equipment;
User makes corresponding predefined gesture sequence, is obtained by the circular device when doing identity and cipher authentication The arm electromyography signal at family is taken, and extracts various features value parameter, is sent in the form of encryption communication and needs password unlock Controlled end or server or cloud storage equipment carry out operation, by these systems after receiving feature value parameter to realize user Identity and password compare and match work, and the information that certification passes through or fails is sent to controlled end in an encrypted form;Encryption The secret key of communication is specified when user carries out initial configuration to equipment;
Identity characteristic information and gesture motion sequence information pass through user when user carries out initial configuration to equipment Gesture motion sequence, by the operation of circular device scene produce extract characteristic value, be sent to controlled end or server, cloud storage The equal further mathematical operation of carry out, to generate user identity and user password information, and is stored encrypted in local.
As a preferred solution of the present invention, the myoelectricity sensing terminal is set in clothes or protector, the clothes or Acquisition terminal of the protector as electromyography signal.
As a preferred solution of the present invention, myoelectricity sensing terminal is close to user hand skin of arm face, is provided with all the way Or multichannel surface muscle current signal sensor, for picking up myoelectricity current signal;
Equipment is built-in to be equipped with but is not limited to the filtering of muscle current signal, amplification, analog to digital conversion circuit, data processing With control unit, data and program storage block, power module, display module, wireless communication module.
The encipher-decipher method of above-mentioned cryptographic system, described method includes following steps: user is set by wearing myoelectricity acquisition Standby collection surface muscle electric current, equipment are automatically stored and analyze the muscle electric current of one or many certain gestures/movements of user Gesture/motion characteristic value that analysis obtains is saved as an eigenmatrix by signal characteristic value, equipment, and using this matrix as password Setting matrix is stored in equipment or cloud server;
After user completes the setting of this password, when wearable device carries out cryptographic check again, it need to do same as password setting One or many certain gestures/movements, equipment by within the scope of certain time to one or many certain gestures of user/dynamic Make to carry out characteristic value signal analysis, and obtain cryptographic check matrix, by cryptographic check matrix and is stored in equipment or cloud takes The password setting matrix being engaged in device carries out probability density comparison, password match success is then thought more than given threshold, thus with nothing Line communication is unlocked.
The beneficial effects of the present invention are: cryptographic system proposed by the present invention and encipher-decipher method are believed by muscle electric current Number obtain password, Information Security can be improved.
The surface electromyogram signal that the close point of observation of skin surface obtains above human muscle has similitude between individual, The unique biological information of each individual is also contained in electromyography signal simultaneously, such a feature information can be used for carrying out individual Identification.For people when doing various gesture motions, the muscle of each position of arm can show different electromyography signals Feature counter can release the gesture motion that user is done by these features, and further, these gesture motions may be used as using Family password.In conjunction with above-mentioned individual biological information and gesture motion information, may be implemented in cryptographic system user identity and The double authentication of user password.
Detailed description of the invention
Fig. 1 is the appearance schematic diagram for the cryptographic system for being integrated with muscle current signal sensor.
Fig. 2 is to be integrated with the schematic diagram of internal structure of the cryptographic system of muscle current signal sensor.
Fig. 3 is the process flow diagram of epidermis muscle current signal.
Fig. 4 is the composition schematic diagram of cryptographic system of the present invention.
Fig. 5 is the structural schematic diagram of flexible connector in embodiment eight.
Fig. 6 is the structural schematic diagram of flexible connection mechanism in embodiment eight.
Fig. 7 is the connection schematic diagram of two neighboring wearable unit in embodiment eight.
Fig. 8 is the structural schematic diagram of myoelectricity sensing terminal in embodiment eight (part wearable unit covers upper housing).
Fig. 9 is the structural schematic diagram of flexible connector in embodiment nine.
Figure 10 is the connection schematic diagram of two neighboring wearable unit in embodiment nine.
Figure 11 is the structural schematic diagram of myoelectricity sensing terminal in embodiment nine (part wearable unit covers upper housing).
Specific embodiment
The preferred embodiment that the invention will now be described in detail with reference to the accompanying drawings.
Embodiment one
Present invention discloses a kind of cryptographic system, core of the invention is to use the muscle current biometric signal of human arm In user identity authentication and cryptographic check.
Particular technique of the invention is embodied as the telescopic annular segments design of shape, may be worn on user's wrist or preceding At arm.It is close at arm skin on the inside of ring device, is put according to the major muscles position characteristic that forearm controls finger and wrist Set multichannel epidermis muscle current sensor.Sensor may but be not limited to using single difference or double difference merotype, the letter of pickup It number is filtered, is amplified by corresponding analog signal, the circuits such as analog signal digital conversion become signal processor or center The accessible continuous digital signal streams of processing unit realize both sides processing: gesture recognition process algorithm, each for extracting The characteristic parameter of a gesture realizes that gesture is distinguished and identified;The biological characteristic of user identity extracts.Based on above-mentioned gesture identification With user's body feature extraction as a result, by and equipment in Initialize installation gesture sequence and user characteristics value compare, Realize user identity authentication and cryptographic check.
Referring to Fig. 1, Fig. 1 is to be integrated with a kind of possible appearance of the cryptographic system 100 of muscle current signal sensor The form of expression.Device shows as a kind of circular device of similar bracelet being worn at wrist or arm, is tightly attached to user's At the skin of wrist or arm.
Referring to Fig. 2, Fig. 2 is to be integrated with the schematic diagram of internal structure of the cryptographic system 100 of muscle current signal sensor. Cryptographic system 100 is divided into multiple modules, and wherein host module 101 is including but not limited to lower component: data processing and control Unit 102, data and program storage unit (PSU) 103 processed, communication unit 103, display unit 104, button switch input unit 105, Analog to digital signal adapter unit 106, battery and charging circuit unit 107 etc.;Cryptographic system 100 also includes multiple surfaces Muscle current sensor module 108 is formed including but not limited to surface muscle current pickup electrode 108a, muscle current signal Filter circuit 108b, muscle current signal amplifier circuit 108c etc..
Referring to Fig. 3, Fig. 3 instruction is that the epidermis muscle current signal 306 come from surface of arm skin may pass through A series of processing links.The faint original table musculus cutaneus meat current signal 306 picked up from difference myoelectricity sensing terminal, peak-to-peak value exists Within+- 1mV, the signal frequency range useful to detection gesture is within 0~1000Hz.Original signal (epidermis muscle electric current letter Number 306) amplified signal that range is suitble to 303 range of subsequent A/D conversion circuit is zoomed by analog amplifier circuit 301 307, such as 1000 times;The frequency range useless to gesture characteristic parameter extraction, such as 50Hz are removed using filter circuit 302 Or 60Hz Hz noise, to reduce the interference to algorithm;Amplification and filtered signal 308 are according to that two sampling of Qwest Principle is converted into digital signal 309 by analog to digital conversion circuit 303;Synchronous multichannel myoelectricity digital signal 309 and fortune Dynamic 310 data of sensor carry out Gesture Recognition Algorithm processing by central processing unit or signal processing unit 304, to extract Gesture feature parameter 305, and the differentiation between gesture is realized eventually by characteristic parameter.It should be noted that this schematic diagram is only intended to Illustrate the frame that is able to achieve of entire signal processing flow, may but be not limited solely to this frame in practical realization.
Embodiment two
Referring to Fig. 4, the present invention discloses a kind of cryptographic system, the cryptographic system includes: myoelectricity sensing terminal 10, password Setup module 20, password identification module 30.
The myoelectricity sensing terminal 10 extracts electromyography signal feature to acquire user's human skin surface's muscle electric current Value.The password setup module 20 generates password to the muscle current signal acquired according to the myoelectricity sensing terminal 10.Institute State password identification module 30 compared to the muscle current signal that acquires the myoelectricity sensing terminal 10 and setting code and With analysis, the verifying of user identity is realized.
In the present embodiment, skin surface muscle current signal of the password setup module to record setting user, from In analyze the corresponding gesture of muscle current signal;Using one group of gesture motion sequence as corresponding keying sequence.It is described close Muscle current signal corresponding gesture of the code identification module to identify the acquisition of myoelectricity sensing terminal, after identifying at least once Gesture motion sequence is generated, gesture motion sequence gesture motion sequence corresponding with setting code sequence is compared, is sentenced Break whether unanimously or in certain safe range.
The myoelectricity sensing terminal can be a circular device, including at least two wearable units, at least one wears single Member is equipped with myoelectric sensor, signal processing circuit, is connected between two neighboring wearable unit by flexible connector;At signal Circuit extraction electromyography signal characteristic value is managed, and the value is saved, analyzes, be uploaded to setting position.The structure of myoelectricity sensing terminal See the description of embodiment eight, embodiment nine;But its structure is also not necessarily limited to this.
It is close to user hand skin of arm face in circular device, lays one or more surface muscle current signal sensor, For picking up myoelectricity current signal.Equipment is built-in to be equipped with but is not limited to the filtering of muscle current signal, amplification, analog to digital conversion Circuit, data processing and control unit, data and program storage block, power module, display module, wireless communication module.
The encipher-decipher method of cryptographic system of the present invention is as follows: user acquires equipment collection surface muscle electricity by wearing myoelectricity It flows (surface muscle electric current includes but is not limited to human arm, wrist, leg and neck), equipment is automatically stored and analyzes user's (this feature value includes but is not limited to muscle current signal to the muscle current signal characteristic value of one or many certain gestures/movements Power, current strength, spectral characteristic, duration, zero passage points etc.), equipment will gesture/motion characteristic value for obtaining of analysis An eigenmatrix is saved as, and is stored in this matrix as password setting matrix in equipment or cloud server, when user is complete After the setting of this password, when wearable device carries out cryptographic check again, it need to do same one or many specific with password setting Gesture/movement, equipment will carry out characteristic value signal to one or many certain gestures of user/movement within the scope of certain time Analysis, and obtain cryptographic check matrix, by cryptographic check matrix and it is stored in the password setting in equipment or in cloud server Matrix carries out probability density comparison, password match success is then thought more than certain threshold value, thus with wireless telecommunications such as bluetooth/WIFI It is unlocked.
Concrete application is described as follows: user wears myoelectricity acquisition bracelet equipment and unlocks mobile phone screen.
First user by wear myoelectricity acquire bracelet equipment be arranged unlocking pin, such as user clench fist twice indicate unlock Password, bracelet equipment are automatically stored and analyze the muscle current signal characteristic value of this certain gestures twice of user, and twice by this Gesture feature value saves as an eigenmatrix, this eigenmatrix is stored in bracelet equipment by bracelet equipment In memory, user completes the setting of this password at this time.When user wear again bracelet equipment carry out cryptographic check when, need to do with it is close Gesture of equally clenching fist twice is arranged in code, and bracelet equipment will carry out feature to the gesture of clenching fist twice of user in 2 seconds time ranges Value signal analysis, and obtain cryptographic check matrix, by cryptographic check matrix and the password setting matrix being stored in bracelet equipment Probability density comparison is carried out, password match success is then thought more than 80% probability similarity, thus with bluetooth communication to Mobile phone screen Curtain is unlocked.
Embodiment three
The difference between the present embodiment and the second embodiment lies in that the password setup module is to according to setting in the present embodiment The distinctive muscle current signal of user generates corresponding password.
The password identification module is to identify the muscle current signal of myoelectricity sensing terminal acquisition and set in password Muscle current signal is compared, and judges whether unanimously or in certain safe range.
Example IV
The difference between the present embodiment and the second embodiment lies in that the password setup module is to record setting in the present embodiment The distinctive skin surface muscle current signal of user therefrom analyzes the corresponding gesture of the distinctive muscle current signal;By one Group gesture motion sequence is as corresponding keying sequence.
Distinctive muscle current signal corresponding hand of the password identification module to identify the acquisition of myoelectricity sensing terminal Gesture generates gesture motion sequence after identifying at least once, gesture motion sequence gesture corresponding with setting code is moved It is compared, judges whether unanimously or in certain safe range as sequence.
Embodiment five
The difference between the present embodiment and the second embodiment lies in that the myoelectricity sensing terminal is circular device in the present embodiment, if It is placed in user's arm, user, which makes gesture motion, can generate surface muscle current signal, and gesture motion is generated as keying sequence Muscle current signal sequence.
System is during carrying out feature extraction and decoding to muscle current signal sequence, in addition to doing use to gesture sequence Password match judgement in family is outer, while the identity characteristic information of user is extracted from electromyography signal, carries out user identity matching, real Appear the dual authentication mechanism of part and keying sequence.
Embodiment six
The difference between the present embodiment and the second embodiment lies in that in the present embodiment, the identity characteristic information and gesture motion of user Sequence information is stored in the circular device in an encrypted form as password.
When the gesture motion sequence that user is done meets stored gesture motion sequence information, and the use therefrom extracted When family identity characteristic information also matches, the instruction that circular device passes through certification is sent in the form of encryption communication and needs password solution The controlled end of lock.
The secret key of encryption communication is specified when user carries out initial configuration to equipment;Identity characteristic information and gesture motion Sequence information, by doing gesture motion sequence, is produced when user carries out initial configuration to equipment by the operation of circular device scene It is raw, and be stored encrypted in equipment.
Embodiment seven
The difference between the present embodiment and the second embodiment lies in that in the present embodiment, the identity characteristic information and gesture motion of user Sequence information is as password, in an encrypted form, is stored in controlled end or server or cloud storage equipment.
User makes corresponding predefined gesture sequence, is obtained by the circular device when doing identity and cipher authentication The arm electromyography signal at family is taken, and extracts various features value parameter, is sent in the form of encryption communication and needs password unlock Controlled end or server or cloud storage equipment carry out operation, by these systems after receiving feature value parameter to realize user Identity and password compare and match work, and the information that certification passes through or fails is sent to controlled end in an encrypted form;Encryption The secret key of communication is specified when user carries out initial configuration to equipment.
Identity characteristic information and gesture motion sequence information pass through user when user carries out initial configuration to equipment Gesture motion sequence, by the operation of circular device scene produce extract characteristic value, be sent to controlled end or server, cloud storage The equal further mathematical operation of carry out, to generate user identity and user password information, and is stored encrypted in local.
Embodiment eight
The difference between the present embodiment and the second embodiment lies in that please referring to Fig. 5 to Fig. 8, the flexible connector in the present embodiment Including two flexible connection mechanisms 201, flexible connection mechanism 201 includes two groups of elastic arms, cross end 2011, two groups of elastic arms It is intersected in the end that crosses;Every group of elastic arm includes at least one elastic arm 2012;Two groups of elastic arms are separately connected adjacent Two wearable units 300.One end of elastic arm 2012 is connect with the end 2011 that crosses, and the other end is equipped with one and hooks body 2013, can be inserted At the connecting groove for entering corresponding wearable unit 300.In the present embodiment, the flexible connection mechanism 201 is V-shaped.
Embodiment nine
The present embodiment and the difference of embodiment eight are, in the present embodiment, please refer to Fig. 9 to Figure 11, the elastic connection Part 21 includes elastic mechanism main body 211, and the both ends of elastic mechanism main body 211 are separately connected at least Liang Ge bindiny mechanism 212;It is described Elastic mechanism main body 211 includes at least two connected V-type elastic mechanisms;One end of the bindiny mechanism 212 is connected to elasticity Mechanism body 211, the other end are equipped at least one thin inserted link 213, facilitate insertion at the hole of wearable unit 300.The connection machine Structure 212 is substantially L-shaped.Liang Ge bindiny mechanism and the contact portion of elastic mechanism main body 211 are generally U-shaped.
Embodiment ten
The myoelectricity sensing terminal is set in clothes or protector, and the clothes or protector are whole as the acquisition of electromyography signal End.Multiple wearable units can be such as sewn in clothes, or be set in the wearing clothes such as wrist guard, elbow support, legging, waist support.
In conclusion cryptographic system proposed by the present invention, obtains password by muscle current signal, data safety can be improved Property.
The surface electromyogram signal that the close point of observation of skin surface obtains above human muscle has similitude between individual, The unique biological information of each individual is also contained in electromyography signal simultaneously, such a feature information can be used for carrying out individual Identification.For people when doing various gesture motions, the muscle of each position of arm can show different electromyography signals Feature counter can release the gesture motion that user is done by these features, and further, these gesture motions may be used as using Family password.In conjunction with above-mentioned individual biological information and gesture motion information, may be implemented in cryptographic system user identity and The double authentication of user password.
Description and application of the invention herein are illustrative, is not wishing to limit the scope of the invention to above-described embodiment In.The deformation and change of embodiments disclosed herein are possible, the realities for those skilled in the art The replacement and equivalent various parts for applying example are well known.It should be appreciated by the person skilled in the art that not departing from the present invention Spirit or essential characteristics in the case where, the present invention can in other forms, structure, arrangement, ratio, and with other components, Material and component are realized.Without departing from the scope and spirit of the present invention, can to embodiments disclosed herein into The other deformations of row and change.

Claims (10)

1. a kind of cryptographic system, which is characterized in that the cryptographic system includes: myoelectricity sensing terminal, password setup module, password Identification module;
The myoelectricity sensing terminal extracts muscle current signal feature to acquire user's human skin surface's muscle electric current Value;
The password setup module generates password to the muscle current signal acquired according to the myoelectricity sensing terminal;
The password identification module compared to the muscle current signal that acquires the myoelectricity sensing terminal and setting code and The matching analysis realizes the verifying of user identity;
The password setup module therefrom analyzes the spy to record the setting distinctive skin surface muscle current signal of user The corresponding movement of some muscle current signals;Using set sequence as corresponding keying sequence;It is every in the keying sequence The corresponding muscle current signal of a movement includes the distinctive biometric identity information characteristics of the user;The password identification module To identify the corresponding movement of distinctive muscle current signal of myoelectricity sensing terminal acquisition, generated after identifying at least once Action sequence action sequence corresponding with setting code is compared action sequence, judges whether unanimously or in a Dingan County In gamut;Alternatively,
System is close in addition to being user to gesture sequence during carrying out feature extraction and decoding to muscle current signal sequence Outside code matching judgment, while the identity characteristic information of user is extracted from electromyography signal, carry out user identity matching, realizes body The dual authentication mechanism of part and keying sequence.
2. cryptographic system according to claim 1, it is characterised in that:
Skin surface muscle current signal of the password setup module to record setting user, therefrom analyzes muscle electricity Flow the corresponding movement of signal;Using set sequence as corresponding keying sequence;
The password identification module identifies corresponding movement to the muscle current signal acquired according to myoelectricity sensing terminal, warp Action sequence is generated after crossing identification at least once;Action sequence action sequence corresponding with setting code sequence is compared It is right, judge whether unanimously or in certain safe range.
3. cryptographic system according to claim 1, it is characterised in that:
The password setup module is to generate corresponding password according to the distinctive muscle current signal of setting user, in the password Include the distinctive biometric identity information of the user;Biometric identity information includes muscle current signal characteristic value;Muscle Current signal characteristic value include the power of muscle current signal, current strength, spectral characteristic, the duration, in zero passage points It is at least one;
Muscle electricity in muscle current signal and setting code of the password identification module to identify the acquisition of myoelectricity sensing terminal Stream signal is compared, and judges whether unanimously or in certain safe range.
4. cryptographic system according to claim 1, it is characterised in that:
The myoelectricity sensing terminal includes at least two wearable units, at least one wearable unit is equipped with myoelectric sensor, letter Number processing circuit is connected between two neighboring wearable unit by flexible connector;It is special that signal processing circuit extracts electromyography signal Value indicative, and the value saved, analyzes, be uploaded to setting position.
5. cryptographic system according to claim 1, it is characterised in that:
The myoelectricity sensing terminal is circular device, is set to user's arm, and user makes single or multiple certain gestures movement Surface muscle current signal can be generated, gesture motion generates muscle current signal sequence as keying sequence;
System is close in addition to being user to gesture sequence during carrying out feature extraction and decoding to muscle current signal sequence Outside code matching judgment, while the identity characteristic information of user is extracted from electromyography signal, carry out user identity matching, realizes body The dual authentication mechanism of part and keying sequence.
6. cryptographic system according to claim 5, it is characterised in that:
The identity characteristic information and gesture motion sequence information of user is stored in the circular device as password in an encrypted form It is interior;When user's body that the gesture motion sequence that user is done meets stored gesture motion sequence information, and therefrom extracts When part characteristic information also matches, the instruction that circular device passes through certification is sent in the form of encryption communication and needs password unlock Controlled end;The secret key of encryption communication is specified when user carries out initial configuration to equipment;Identity characteristic information and gesture motion Sequence information, by doing gesture motion sequence, is produced when user carries out initial configuration to equipment by the operation of circular device scene It is raw, and be stored encrypted in equipment;
Alternatively, the identity characteristic information and gesture motion sequence information of user are stored in controlled end as password in an encrypted form, Or in server or cloud storage equipment;User makes corresponding predefined gesture sequence when doing identity and cipher authentication, The arm electromyography signal of user is obtained by the circular device, and extracts various features value parameter, is sent out in the form of encryption communication Toward the controlled end or server or cloud storage equipment for needing password to unlock, by these systems after receiving feature value parameter, carry out Operation, to realize that user identity and password compare and match work, and the information that certification is passed through or failed is in an encrypted form It is sent to controlled end;The secret key of encryption communication is specified when user carries out initial configuration to equipment;Identity characteristic information and gesture Action sequence information, by the gesture motion sequence of user, is showed when user carries out initial configuration to equipment by circular device Field operation, which produces, extracts characteristic value, is sent to controlled end or server or cloud storage equipment carries out further mathematical operation, to generate User identity and user password information, and it is stored encrypted in local.
7. cryptographic system according to claim 1, it is characterised in that:
The myoelectricity sensing terminal is set in clothes or protector, the acquisition terminal of the clothes or protector as electromyography signal.
8. cryptographic system according to claim 1, it is characterised in that:
Myoelectricity sensing terminal is close to user hand skin of arm face, is provided with one or more surface muscle current signal sensor, For picking up myoelectricity current signal;
Device includes that the filtering of muscle current signal, amplification, analog to digital conversion circuit, data processing and control are single in equipment Member, data and program storage block, power module, display module, wireless communication module.
9. the encipher-decipher method of cryptographic system described in one of claim 1 to 8, which is characterized in that the method includes walking as follows It is rapid:
User acquires equipment collection surface muscle electric current by wearing myoelectricity, and equipment is automatically stored and analyzes the primary or more of user Gesture/motion characteristic value that analysis obtains is saved as a spy by the muscle current signal characteristic value of secondary certain gestures/movement, equipment Matrix is levied, and is stored in this matrix as password setting matrix in equipment or cloud server;
After user completes the setting of this password, when wearable device carries out cryptographic check again, it need to do and password setting same one Secondary or multiple certain gestures/movement, equipment by within the scope of certain time to one or many certain gestures of user/act into The analysis of row characteristic value signal, and obtains cryptographic check matrix, by cryptographic check matrix and is stored in equipment or cloud server Interior password setting matrix carries out probability density comparison, password match success is then thought more than given threshold, to use channel radio News are unlocked.
10. encipher-decipher method according to claim 9, it is characterised in that:
The muscle current signal characteristic value include the power of muscle current signal, current strength, spectral characteristic, the duration, At least one of zero passage points.
CN201510780780.0A 2015-11-13 2015-11-13 A kind of cryptographic system and encipher-decipher method Active CN105243312B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510780780.0A CN105243312B (en) 2015-11-13 2015-11-13 A kind of cryptographic system and encipher-decipher method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510780780.0A CN105243312B (en) 2015-11-13 2015-11-13 A kind of cryptographic system and encipher-decipher method

Publications (2)

Publication Number Publication Date
CN105243312A CN105243312A (en) 2016-01-13
CN105243312B true CN105243312B (en) 2019-03-01

Family

ID=55040957

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510780780.0A Active CN105243312B (en) 2015-11-13 2015-11-13 A kind of cryptographic system and encipher-decipher method

Country Status (1)

Country Link
CN (1) CN105243312B (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107526952B (en) * 2016-06-22 2020-09-01 宁波工程学院 Identity recognition method based on multi-channel surface electromyographic signals
US11140547B2 (en) 2016-11-26 2021-10-05 Huawei Technologies Co., Ltd. Method for securely controlling smart home, and terminal device
CN106778626A (en) * 2016-12-21 2017-05-31 江西师范大学 A kind of random sequence generation device based on electrocardiosignal
CN107169432A (en) * 2017-05-09 2017-09-15 深圳市科迈爱康科技有限公司 Biometric discrimination method, terminal and computer-readable recording medium based on myoelectricity
CN108564105A (en) * 2018-02-28 2018-09-21 浙江工业大学 A kind of online gesture identification method for myoelectricity individual difference problem
CN110811633A (en) * 2019-11-06 2020-02-21 中国科学院自动化研究所 Identity recognition method, system and device based on electromyographic signals
CN110706384A (en) * 2019-11-13 2020-01-17 深圳先进技术研究院 Lockset and control method thereof
CN111371951B (en) * 2020-03-03 2021-04-23 北京航空航天大学 Smart phone user authentication method and system based on electromyographic signals and twin neural network

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1496705A (en) * 2002-10-11 2004-05-19 ��ʽ����Ntt����Ħ Identification device, identification system and identification method
CN102915594A (en) * 2011-08-04 2013-02-06 深圳市凯智汇科技有限公司 Bank card security system based on human body biological information code and operation method thereof
CN103279734A (en) * 2013-03-26 2013-09-04 上海交通大学 Novel intelligent sign language translation and man-machine interaction system and use method thereof
CN104902813A (en) * 2012-11-29 2015-09-09 纽罗斯凯公司 Personal biosensor accessory attachment

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150135309A1 (en) * 2011-08-20 2015-05-14 Amit Vishram Karmarkar Method and system of user authentication with eye-tracking data
CN103092503B (en) * 2012-10-11 2016-08-31 百度在线网络技术(北京)有限公司 The unblock of mobile terminal and verification method and unblock and checking device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1496705A (en) * 2002-10-11 2004-05-19 ��ʽ����Ntt����Ħ Identification device, identification system and identification method
CN102915594A (en) * 2011-08-04 2013-02-06 深圳市凯智汇科技有限公司 Bank card security system based on human body biological information code and operation method thereof
CN104902813A (en) * 2012-11-29 2015-09-09 纽罗斯凯公司 Personal biosensor accessory attachment
CN103279734A (en) * 2013-03-26 2013-09-04 上海交通大学 Novel intelligent sign language translation and man-machine interaction system and use method thereof

Also Published As

Publication number Publication date
CN105243312A (en) 2016-01-13

Similar Documents

Publication Publication Date Title
CN105243312B (en) A kind of cryptographic system and encipher-decipher method
CA2835460C (en) System and method for enabling continuous or instantaneous identity recognition based on physiological biometric signals
Arteaga-Falconi et al. ECG authentication for mobile devices
Sufi et al. ECG-based authentication
Jiang et al. Enhancing IoT security via cancelable HD-sEMG-based biometric authentication password, encoded by gesture
CN106056054B (en) A kind of method and terminal carrying out fingerprint recognition
CN106250751B (en) A kind of mobile device and the method for adjusting sign information detection threshold value
CN108334766B (en) Electronic device, unlocking method and Related product
US20170185759A1 (en) Emg-based liveness detection
Al Kork et al. Biometric database for human gait recognition using wearable sensors and a smartphone
CN106446627A (en) Method and device for carrying out identity authentication at electronic terminal
Ohtsuki et al. Biometrie authentication using hand movement information from wrist-worn PPG sensors
CN104809371A (en) Device and method for determining validity of authentication information of head-wearing intelligent device
CN114072795A (en) Live user authentication apparatus, system and method, and fraud or collusion prevention using the same
Cola et al. Personalized gait detection using a wrist-worn accelerometer
CN106909814A (en) Divulgence prevention method and anti-terminal of divulging a secret
CN105761424B (en) Information verification method and electronic equipment
Derawi et al. Fusion of gait and ECG for biometric user authentication
CN107230271A (en) A kind of combination system for unlocking and its method based on electrocardiosignal
CN112069483A (en) User identification and authentication method of intelligent wearable device
Frank et al. Personalizable neurological user authentication framework
CN208056859U (en) It is a kind of about vision induced intelligent cipher lock system
Haukipuro et al. Mobile brainwaves: On the interchangeability of simple authentication tasks with low-cost, single-electrode EEG devices
CN109901711A (en) By the asynchronous real-time brain prosecutor method of the micro- expression EEG signals driving of weak Muscle artifacts
Cornelius et al. A SURVEY OF BIOMETRICS FOR WEARABLE DEVICES.

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant