CN105243312B - A kind of cryptographic system and encipher-decipher method - Google Patents
A kind of cryptographic system and encipher-decipher method Download PDFInfo
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- 238000002567 electromyography Methods 0.000 abstract description 3
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- G—PHYSICS
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- 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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- 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
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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
Technical Field
The invention belongs to the technical field of electronic information, and relates to a password system, in particular to a password system combined with an electromyographic signal; meanwhile, the invention also relates to an encryption and decryption method.
Background
In order to improve security, a conventional electronic device generally sets a password for encryption. However, this method is less secure, and the password may be intercepted by trojan horse or obtained by others, thereby causing disclosure of confidential information and property loss.
Meanwhile, the conventional password system cannot verify the biological characteristics (such as fingerprints and irises), so that a great loss can be caused as long as the password is lost.
In view of the above, there is a need to design a new cryptographic system to overcome the above-mentioned drawbacks of the existing cryptographic systems.
The human body accompanies a biological signal that can be observed during movement, which is called an Electromyography (EMG), and the signal observed from the skin surface is called a Surface Electromyography (SEMG).
Disclosure of Invention
The technical problem to be solved by the invention is as follows: provided is a cryptographic system capable of improving data security by acquiring a password using a muscle current signal.
In addition, the invention also provides an encryption and decryption method, and the data security can be improved by acquiring the password through the muscle current signal.
In order to solve the technical problems, the invention adopts the following technical scheme:
a cryptographic system, the cryptographic system comprising: the system comprises a myoelectricity sensing terminal, a password setting module and a password identification module;
the myoelectricity sensing terminal is used for collecting the muscle current on the surface of the skin of the human body of the user and extracting a myoelectricity signal characteristic value;
the password setting module is used for generating a password according to the muscle current signal collected by the myoelectricity sensing terminal;
the password identification module is used for comparing, matching and analyzing the muscle current signals collected by the myoelectricity sensing terminal with a set password, so as to realize the authentication of the user identity.
As a preferred scheme of the present invention, the password setting module is configured to record a skin surface muscle current signal of a user, and analyze a gesture corresponding to the muscle current signal; taking a group of gesture action sequences as corresponding password sequences;
the password identification module is used for identifying gestures corresponding to muscle current signals collected by the myoelectricity sensing terminal, generating a gesture action sequence after at least one identification, comparing the gesture action sequence with a gesture action sequence corresponding to a set password sequence, and judging whether the gesture action sequence is consistent with the gesture action sequence or is within a certain safety range.
As a preferred scheme of the present invention, the password setting module is configured to generate a corresponding password according to a muscle current signal specific to a set user, where the password includes a biometric identity information specific to the user;
the password identification module is used for identifying muscle current signals collected by the myoelectricity sensing terminal and comparing the muscle current signals with the set password to judge whether the muscle current signals are consistent or within a certain safety range.
As a preferred scheme of the present invention, the password setting module is configured to record a specific skin surface muscle current signal of a user, and analyze a gesture corresponding to the specific muscle current signal; taking a group of gesture action sequences as corresponding password sequences; the muscle current signal corresponding to each action in the password sequence comprises the unique biological characteristic identity information characteristic of the user;
the password identification module is used for identifying gestures corresponding to the specific muscle current signals collected by the myoelectricity sensing terminal, generating a gesture action sequence after at least one-time identification, comparing the gesture action sequence with a gesture action sequence corresponding to a set password, and judging whether the gesture action sequence is consistent with the gesture action sequence or is within a certain safety range.
As a preferred scheme of the invention, the myoelectricity sensing terminal comprises at least two wearing units, at least one wearing unit is provided with a myoelectricity sensor and a signal processing circuit, and two adjacent wearing units are connected through an elastic connecting piece; the signal processing circuit extracts the characteristic value of the electromyographic signal, and stores, analyzes and uploads the value to a set position.
As a preferred scheme of the invention, the myoelectric sensing terminal is a ring-shaped device and is arranged on an arm of a user, the user can generate a surface muscle current signal by making single or multiple specific gesture actions, and the gesture actions are used as a password sequence to generate a muscle current signal sequence;
in the process of extracting and decoding the characteristics of the muscle current signal sequence, the system extracts the identity characteristic information of the user from the electromyographic signal for matching the identity of the user besides performing user password matching judgment on the gesture sequence, thereby realizing a dual authentication mechanism of the identity and the password sequence.
As a preferred scheme of the present invention, the identity characteristic information and the gesture sequence information of the user are stored in the ring device as a password in an encrypted form;
when the gesture action sequence made by the user accords with the stored gesture action sequence information and the user identity characteristic information extracted from the gesture action sequence information is also matched, the annular equipment sends an authentication passing instruction to a controlled end needing password unlocking in an encryption communication mode;
the encryption communication key is appointed when the user carries out initialization configuration on the equipment; when a user carries out initial configuration on the equipment, the identity characteristic information and the gesture action sequence information are generated by field operation of the annular equipment by making a gesture action sequence and are stored in the equipment in an encrypted manner.
As a preferred scheme of the invention, the identity characteristic information and the gesture sequence information of the user are stored in the controlled terminal, or the server, or the cloud storage device in an encrypted form as passwords;
when the user authenticates the identity and the password, a corresponding predefined gesture sequence is made, the annular device acquires the arm electromyographic signals of the user, extracts various characteristic value parameters and sends the characteristic value parameters to a controlled end needing password unlocking, or a server or cloud storage equipment in an encrypted communication mode, and after the system receives the characteristic value parameters, the system performs operation to realize the comparison and matching work of the user identity and the password and sends information of passing or failing authentication to the controlled end in an encrypted mode; the encryption communication key is appointed when the user carries out initialization configuration on the equipment;
when a user carries out initialization configuration on equipment, the characteristic value is extracted through field operation of the annular equipment through the gesture action sequence of the user and is sent to a controlled end, or a server, cloud storage and the like carry out further mathematical operation to generate user identity and user password information, and the user identity and the user password information are encrypted and stored locally.
In a preferred embodiment of the present invention, the myoelectric sensing terminal is provided in a garment or a suit, and the garment or the suit serves as a myoelectric signal collecting terminal.
As a preferred scheme of the invention, the myoelectric sensing terminal is tightly attached to the skin surface of the arm of a user, wherein one or more paths of surface muscle current signal sensors are arranged for picking up myoelectric current signals;
the device is provided with a muscle current signal filtering circuit, an amplifying circuit, an analog-to-digital conversion circuit, a data processing and control unit, a data and program storage module, a power supply module, a display module and a wireless communication module.
The encryption and decryption method of the cryptosystem comprises the following steps: the user collects surface muscle current by wearing the myoelectricity collecting equipment, the muscle current signal characteristic value of one or more times of specific gestures/actions of the user is automatically stored and analyzed by the equipment, the gesture/action characteristic value obtained by analysis is stored as a characteristic matrix by the equipment, and the matrix is stored in the equipment or a cloud server as a password setting matrix;
when the user finishes the password setting and wears the equipment again for password checking, one or more specific gestures/actions the same as the password setting are needed, the equipment analyzes characteristic value signals of the one or more specific gestures/actions of the user within a certain time range to obtain a password check matrix, the probability density comparison is carried out on the password check matrix and a password setting matrix stored in the equipment or a cloud server, if the probability density exceeds a set threshold value, the password matching is considered to be successful, and therefore the unlocking is carried out through wireless communication.
The invention has the beneficial effects that: the encryption system and the encryption and decryption method provided by the invention can improve the data security by acquiring the password through the muscle current signal.
The surface electromyographic signals obtained from the skin surface above the muscle of the human body close to the observation point have similarity among individuals, and meanwhile, the electromyographic signals also contain unique biological characteristic information of each individual, and the characteristic information can be used for identifying the identity of the individual. When a person makes various gesture motions, muscles at various positions of an arm can show different myoelectric signal characteristics, the gesture motions made by the user can be deduced reversely through the characteristics, and further the gesture motions can be used as user passwords. By combining the individual biological characteristic information and the gesture action information, the dual authentication of the user identity and the user password in the password system can be realized.
Drawings
Fig. 1 is an appearance representation diagram of a cryptosystem integrated with a muscle current signal sensor.
Fig. 2 is a schematic diagram of the internal structure of the cryptographic system integrated with the muscle current signal sensor.
Fig. 3 is a flow chart of the processing of the skin muscle current signal.
FIG. 4 is a schematic diagram of the cryptosystem according to the present invention.
Fig. 5 is a schematic structural view of an elastic connection member according to an eighth embodiment.
Fig. 6 is a schematic structural view of an elastic connection mechanism in an eighth embodiment.
Fig. 7 is a schematic connection diagram of two adjacent wearing units in an eighth embodiment.
Fig. 8 is a schematic structural diagram of an eight-middle myoelectric sensing terminal according to an embodiment (a partial wearing unit is sleeved on a housing).
FIG. 9 is a schematic view showing the structure of an elastic connecting unit according to the ninth embodiment.
Fig. 10 is a schematic view showing the connection of two adjacent wearing units in the ninth embodiment.
Fig. 11 is a schematic structural diagram of a myoelectric sensing terminal in the ninth embodiment (a partial wearing unit is sleeved on a shell).
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Example one
The invention discloses a password system, which is characterized in that a muscle current biological signal of a human arm is used for user identity authentication and password verification.
The specific technology of the invention is implemented as a ring segment design with a retractable shape, which can be worn on the wrist or forearm of a user. And a plurality of skin muscle current sensors are arranged at the inner side of the annular device and tightly attached to the skin of the arm according to the position characteristics of the main muscles of the control fingers and the wrist of the forearm. The sensor may adopt, but is not limited to, a single differential mode or a double differential mode, and the picked-up signal is converted into a continuous digital signal stream that can be processed by a signal processor or a central processing unit through corresponding analog signal filtering, amplifying, analog signal digital conversion and other circuits, so as to implement two-way processing: the gesture recognition processing algorithm is used for extracting characteristic parameters of each gesture to realize gesture distinguishing and recognition; and extracting the biological characteristics of the user identity. And comparing the gesture sequence with the gesture sequence and the user characteristic value which are initialized and set in the equipment based on the gesture recognition result and the user body characteristic extraction result to realize user identity authentication and password verification.
Referring to fig. 1, fig. 1 is a schematic diagram of a possible external appearance of a cryptographic system 100 incorporating a muscle current signal sensor. The device is represented as a ring-shaped device like a bracelet worn at the wrist or arm, clinging to the skin of the user's wrist or arm.
Referring to fig. 2, fig. 2 is a schematic diagram of an internal structure of the cryptographic system 100 integrated with a muscle current signal sensor. The cryptographic system 100 is divided into a plurality of modules, wherein the host module 101 includes, but is not limited to, the following components: a data processing and control unit 102, a data and program storage unit 103, a communication unit 103, a display unit 104, a button switch input unit 105, an analog-to-digital signal converter unit 106, a battery and charging circuit unit 107, and the like; the cryptographic system 100 also includes a plurality of surface muscle current sensor modules 108, which may include, but are not limited to, surface muscle current pick-up electrodes 108a, muscle current signal filtering circuitry 108b, muscle current signal amplifying circuitry 108c, and the like.
Referring to fig. 3, fig. 3 illustrates a series of possible processing steps that may be performed on the skin current signal 306 from the skin surface of the arm. The peak value of a weak original skin muscle current signal 306 picked up from the differential myoelectricity sensing terminal is within + -1mV, and the frequency range of a signal useful for detecting gestures is within 0-1000 Hz. The original signal (the skin muscle current signal 306) is amplified by the analog amplifier circuit 301 into an amplified signal 307 with a range suitable for the range of the subsequent analog-to-digital conversion circuit 303, for example, 1000 times; then, the frequency range which is useless for extracting the gesture characteristic parameters is removed through the filter circuit 302, for example, the power frequency interference of 50Hz or 60Hz is removed, so that the interference to the algorithm is reduced; the amplified and filtered signal 308 is converted to a digital signal 309 by an analog-to-digital conversion circuit 303 in accordance with the nyquist double sampling principle; the synchronous multipath electromyographic digital signal 309 and the data of the motion sensor 310 are processed by a gesture recognition algorithm through a central processing unit or a signal processing unit 304 to extract a gesture characteristic parameter 305, and finally, the gesture is distinguished through the characteristic parameter. It should be noted that this diagram is only used to illustrate a possible implementation framework of the whole signal processing flow, and an actual implementation may be, but is not limited to, this framework.
Example two
Referring to fig. 4, the present invention discloses a cryptographic system, which includes: the myoelectricity sensing terminal comprises a myoelectricity sensing terminal 10, a password setting module 20 and a password identification module 30.
The electromyographic sensing terminal 10 is used for collecting the muscle current on the skin surface of the human body of the user and extracting the characteristic value of the electromyographic signal. The password setting module 20 is configured to generate a password according to the muscle current signal collected by the myoelectric sensing terminal 10. The password identification module 30 is used for comparing and matching the muscle current signal collected by the myoelectricity sensing terminal 10 with a set password, and for analyzing, so as to verify the identity of the user.
In this embodiment, the password setting module is configured to record a skin surface muscle current signal of a set user, and analyze a gesture corresponding to the muscle current signal; and taking a group of gesture action sequences as corresponding password sequences. The password identification module is used for identifying gestures corresponding to muscle current signals collected by the myoelectricity sensing terminal, generating a gesture action sequence after at least one identification, comparing the gesture action sequence with a gesture action sequence corresponding to a set password sequence, and judging whether the gesture action sequence is consistent with the gesture action sequence or is within a certain safety range.
The myoelectricity sensing terminal can be annular equipment and comprises at least two wearing units, wherein at least one wearing unit is provided with a myoelectricity sensor and a signal processing circuit, and two adjacent wearing units are connected through an elastic connecting piece; the signal processing circuit extracts the characteristic value of the electromyographic signal, and stores, analyzes and uploads the value to a set position. The structure of the myoelectric sensing terminal can be referred to the description of the eighth embodiment and the ninth embodiment; but the structure is not limited thereto.
One or more paths of surface muscle current signal sensors are arranged on the surface of the annular equipment, which is tightly attached to the skin surface of the arm of the user, and are used for picking up the muscle current signals. The device is provided with a muscle current signal filtering circuit, an amplifying circuit, an analog-to-digital conversion circuit, a data processing and control unit, a data and program storage module, a power supply module, a display module and a wireless communication module.
The encryption and decryption method of the cryptographic system of the invention is as follows: the user collects surface muscle current (the surface muscle current comprises but is not limited to a human arm, a wrist, a leg and a neck) by wearing the myoelectricity collecting device, the device automatically stores and analyzes a muscle current signal characteristic value of one or more specific gestures/actions of the user (the characteristic value comprises but is not limited to power, current intensity, spectral characteristics, duration, zero crossing points and the like of a muscle current signal), the device stores the gesture/action characteristic value obtained by analysis as a characteristic matrix, the matrix is used as a password setting matrix to be stored in the device or a cloud server, when the user wears the device again to carry out password verification after the password setting is finished, one or more specific gestures/actions the same as the password setting need to be carried out, and the device carries out characteristic value signal analysis on one or more specific gestures/actions of the user within a certain time range, and obtaining a password check matrix, comparing the probability density of the password check matrix with a password setting matrix stored in the equipment or the cloud server, and if a certain threshold value is exceeded, determining that the password matching is successful, so as to unlock by using wireless communication such as Bluetooth/WIFI.
The specific application is described as follows: the user wears the myoelectricity collection bracelet equipment to unlock the mobile phone screen.
Firstly, a user sets an unlocking password by wearing myoelectricity acquisition bracelet equipment, for example, the user makes a fist twice to express the unlocking password, the bracelet equipment automatically stores and analyzes the muscle current signal characteristic value of the two times of specific gestures of the user, the two times of gesture characteristic values are stored into a characteristic matrix, the bracelet equipment stores the characteristic matrix into a bracelet equipment memory as a password setting matrix, and the user completes the password setting at the moment. When the user wears the bracelet equipment once more and carries out password verification, need do and set up the same twice gesture of making a fist with the password, bracelet equipment will carry out eigenvalue signal analysis to the twice gesture of making a fist of user in 2 seconds time span to reach the password check matrix, set for the matrix with the password of password check matrix and storage in bracelet equipment and carry out the probability density comparison, exceed 80% probability similarity then think the password match and succeed, thereby carry out the unblock to the cell-phone screen with the bluetooth communication.
EXAMPLE III
The difference between this embodiment and the second embodiment is that, in this embodiment, the password setting module is used to generate a corresponding password according to a muscle current signal specific to a set user.
The password identification module is used for identifying muscle current signals collected by the myoelectricity sensing terminal and comparing the muscle current signals with the set password to judge whether the muscle current signals are consistent or within a certain safety range.
Example four
The difference between the present embodiment and the second embodiment is that, in the present embodiment, the password setting module is configured to record and set a specific skin surface muscle current signal of the user, and analyze a gesture corresponding to the specific muscle current signal; and taking a group of gesture action sequences as corresponding password sequences.
The password identification module is used for identifying gestures corresponding to the specific muscle current signals collected by the myoelectricity sensing terminal, generating a gesture action sequence after at least one-time identification, comparing the gesture action sequence with a gesture action sequence corresponding to a set password, and judging whether the gesture action sequence is consistent with the gesture action sequence or is within a certain safety range.
EXAMPLE five
The difference between the present embodiment and the second embodiment is that, in the present embodiment, the myoelectric sensing terminal is an annular device, and is disposed on an arm of a user, and the user can generate a surface muscle current signal by performing a gesture motion, and the gesture motion is used as a password sequence to generate a muscle current signal sequence.
In the process of extracting and decoding the characteristics of the muscle current signal sequence, the system extracts the identity characteristic information of the user from the electromyographic signal for matching the identity of the user besides performing user password matching judgment on the gesture sequence, thereby realizing a dual authentication mechanism of the identity and the password sequence.
EXAMPLE six
The difference between the present embodiment and the second embodiment is that, in the present embodiment, the identity characteristic information and the gesture sequence information of the user are stored in the ring device in an encrypted form as passwords.
When the gesture action sequence made by the user accords with the stored gesture action sequence information and the user identity characteristic information extracted from the gesture action sequence information is also matched, the annular equipment sends the authenticated instruction to the controlled end needing password unlocking in an encrypted communication mode.
The encryption communication key is appointed when the user carries out initialization configuration on the equipment; when a user carries out initial configuration on the equipment, the identity characteristic information and the gesture action sequence information are generated by field operation of the annular equipment by making a gesture action sequence and are stored in the equipment in an encrypted manner.
EXAMPLE seven
The difference between the present embodiment and the second embodiment is that, in the present embodiment, the identity characteristic information and the gesture sequence information of the user are stored in the controlled end, or the server, or the cloud storage device as passwords in an encrypted form.
When the user authenticates the identity and the password, a corresponding predefined gesture sequence is made, the annular device acquires the arm electromyographic signals of the user, extracts various characteristic value parameters and sends the characteristic value parameters to a controlled end needing password unlocking, or a server or cloud storage equipment in an encrypted communication mode, and after the system receives the characteristic value parameters, the system performs operation to realize the comparison and matching work of the user identity and the password and sends information of passing or failing authentication to the controlled end in an encrypted mode; the key for encrypted communication is specified when the user initially configures the device.
When a user carries out initialization configuration on equipment, the characteristic value is extracted through field operation of the annular equipment through the gesture action sequence of the user and is sent to a controlled end, or a server, cloud storage and the like carry out further mathematical operation to generate user identity and user password information, and the user identity and the user password information are encrypted and stored locally.
Example eight
The difference between the present embodiment and the second embodiment is that, in the present embodiment, referring to fig. 5 to fig. 8, the elastic connecting member includes two elastic connecting mechanisms 201, the elastic connecting mechanism 201 includes two sets of elastic arms and a meeting end 2011, and the two sets of elastic arms meet at the meeting end; each set of resilient arms includes at least one resilient arm 2012; the two sets of elastic arms are respectively connected with two adjacent wearing units 300. One end of the elastic arm 2012 is connected to the junction end 2011, and the other end is provided with a hook 2013 capable of being inserted into the connection groove of the corresponding wearing unit 300. In this embodiment, the elastic connection mechanism 201 is V-shaped.
Example nine
The difference between the present embodiment and the eighth embodiment is that, in the present embodiment, referring to fig. 9 to 11, the elastic connecting member 21 includes an elastic mechanism main body 211, and two ends of the elastic mechanism main body 211 are respectively connected to at least two connecting mechanisms 212; the elastic mechanism body 211 comprises at least two connected V-shaped elastic mechanisms; one end of the connecting mechanism 212 is connected to the elastic mechanism body 211, and the other end is provided with at least one thin insertion rod 213 for being inserted into a hole of the wearing unit 300. The connection mechanism 212 is generally L-shaped. The contact portions of the two connection mechanisms with the elastic mechanism main body 211 are substantially U-shaped.
Example ten
The myoelectricity sensing terminal is arranged in clothes or a protective tool, and the clothes or the protective tool is used as an acquisition terminal of myoelectricity signals. For example, the plurality of wearing units may be sewn into the garment or may be provided in the wearing garment such as a wrist pad, elbow pad, leg pad, or waist pad.
In summary, the cryptographic system provided by the present invention can improve data security by obtaining the password through the muscle current signal.
The surface electromyographic signals obtained from the skin surface above the muscle of the human body close to the observation point have similarity among individuals, and meanwhile, the electromyographic signals also contain unique biological characteristic information of each individual, and the characteristic information can be used for identifying the identity of the individual. When a person makes various gesture motions, muscles at various positions of an arm can show different myoelectric signal characteristics, the gesture motions made by the user can be deduced reversely through the characteristics, and further the gesture motions can be used as user passwords. By combining the individual biological characteristic information and the gesture action information, the dual authentication of the user identity and the user password in the password system can be realized.
The description and applications of the invention herein are illustrative and are not intended to limit the scope of the invention to the embodiments described above. Variations and modifications of the embodiments disclosed herein are possible, and alternative and equivalent various components of the embodiments will be apparent to those skilled in the art. It will be clear to those skilled in the art that the present invention may be embodied in other forms, structures, arrangements, proportions, and with other components, materials, and parts, without departing from the spirit or essential characteristics thereof. Other variations and modifications of the embodiments disclosed herein may be made without departing from the scope and spirit of the invention.
Claims (10)
1. A cryptographic system, the cryptographic system comprising: the system comprises a myoelectricity sensing terminal, a password setting module and a password identification module;
the myoelectricity sensing terminal is used for collecting muscle current on the surface of the skin of a user and extracting a muscle current signal characteristic value;
the password setting module is used for generating a password according to the muscle current signal collected by the myoelectricity sensing terminal;
the password identification module is used for comparing, matching and analyzing the muscle current signals collected by the myoelectricity sensing terminal with a set password to realize the authentication of the user identity;
the password setting module is used for recording a specific skin surface muscle current signal of a set user and analyzing the action corresponding to the specific muscle current signal; taking a group of action sequences as corresponding code sequences; the muscle current signal corresponding to each action in the password sequence comprises the unique biological characteristic identity information characteristic of the user; the password identification module is used for identifying the action corresponding to the specific muscle current signal acquired by the myoelectricity sensing terminal, generating an action sequence after at least one identification, comparing the action sequence with the action sequence corresponding to the set password, and judging whether the action sequence is consistent or in a certain safety range; or,
in the process of extracting and decoding the characteristics of the muscle current signal sequence, the system extracts the identity characteristic information of the user from the electromyographic signal for matching the identity of the user besides performing user password matching judgment on the gesture sequence, thereby realizing a dual authentication mechanism of the identity and the password sequence.
2. The cryptographic system of claim 1, wherein:
the password setting module is used for recording a skin surface muscle current signal of a set user and analyzing the action corresponding to the muscle current signal; taking a group of action sequences as corresponding code sequences;
the password identification module is used for identifying corresponding actions according to muscle current signals collected by the myoelectricity sensing terminal and generating an action sequence after at least one identification; comparing the action sequence with the action sequence corresponding to the set password sequence to judge whether the action sequence is consistent or in a certain safety range.
3. The cryptographic system of claim 1, wherein:
the password setting module is used for generating a corresponding password according to a specific muscle current signal of a set user, and the password comprises specific biological characteristic identity information of the user; the biological characteristic identity information comprises a muscle current signal characteristic value; the muscle current signal characteristic value comprises at least one of power, current intensity, frequency spectrum characteristics, duration and zero-crossing number of the muscle current signal;
the password identification module is used for identifying muscle current signals collected by the myoelectricity sensing terminal and comparing the muscle current signals with muscle current signals in a set password, and judging whether the muscle current signals are consistent or within a certain safety range.
4. The cryptographic system of claim 1, wherein:
the myoelectricity sensing terminal comprises at least two wearing units, at least one wearing unit is provided with a myoelectricity sensor and a signal processing circuit, and two adjacent wearing units are connected through an elastic connecting piece; the signal processing circuit extracts the characteristic value of the electromyographic signal, and stores, analyzes and uploads the value to a set position.
5. The cryptographic system of claim 1, wherein:
the myoelectricity sensing terminal is annular equipment and is arranged on the arm of a user, the user can generate a surface muscle current signal by making single or multiple specific gesture actions, and the gesture actions are used as a password sequence to generate a muscle current signal sequence;
in the process of extracting and decoding the characteristics of the muscle current signal sequence, the system extracts the identity characteristic information of the user from the electromyographic signal for matching the identity of the user besides performing user password matching judgment on the gesture sequence, thereby realizing a dual authentication mechanism of the identity and the password sequence.
6. The cryptographic system of claim 5, wherein:
the identity characteristic information and the gesture action sequence information of the user are used as passwords and stored in the annular equipment in an encrypted form; when the gesture action sequence made by the user accords with the stored gesture action sequence information and the user identity characteristic information extracted from the gesture action sequence information is also matched, the annular equipment sends an authentication passing instruction to a controlled end needing password unlocking in an encryption communication mode; the encryption communication key is appointed when the user carries out initialization configuration on the equipment; when a user carries out initialization configuration on equipment, the identity characteristic information and the gesture action sequence information are generated by field operation of the annular equipment by making a gesture action sequence and are stored in the equipment in an encrypted manner;
or the identity characteristic information and the gesture action sequence information of the user are used as passwords and stored in the controlled end, or the server, or the cloud storage device in an encrypted form; when the user authenticates the identity and the password, a corresponding predefined gesture sequence is made, the annular device acquires the arm electromyographic signals of the user, extracts various characteristic value parameters and sends the characteristic value parameters to a controlled end or a server or cloud storage equipment needing password unlocking in an encrypted communication mode, the systems perform operation after receiving the characteristic value parameters so as to realize the comparison and matching work of the user identity and the password, and information that the authentication is passed or failed is sent to the controlled end in an encrypted mode; the encryption communication key is appointed when the user carries out initialization configuration on the equipment; when a user carries out initialization configuration on the equipment, the characteristic value is extracted through field operation of the annular equipment through the gesture action sequence of the user, the characteristic value is sent to a controlled end or a server or cloud storage equipment for further mathematical operation, so that user identity and user password information is generated and is encrypted and stored locally.
7. The cryptographic system of claim 1, wherein:
the myoelectricity sensing terminal is arranged in clothes or a protective tool, and the clothes or the protective tool is used as an acquisition terminal of myoelectricity signals.
8. The cryptographic system of claim 1, wherein:
the myoelectricity sensing terminal is tightly attached to the skin surface of the arm of a user, and one or more paths of surface muscle current signal sensors are arranged in the myoelectricity sensing terminal and used for picking up myoelectricity current signals;
the device comprises a muscle current signal filtering circuit, an amplifying circuit, an analog-to-digital conversion circuit, a data processing and controlling unit, a data and program storage module, a power supply module, a display module and a wireless communication module.
9. Encryption and decryption method for a cryptographic system according to one of claims 1 to 8, characterized in that said method comprises the following steps:
the user collects surface muscle current by wearing the myoelectricity collecting equipment, the muscle current signal characteristic value of one or more times of specific gestures/actions of the user is automatically stored and analyzed by the equipment, the gesture/action characteristic value obtained by analysis is stored as a characteristic matrix by the equipment, and the matrix is stored in the equipment or a cloud server as a password setting matrix;
when the user finishes the password setting and wears the equipment again for password checking, one or more specific gestures/actions the same as the password setting are needed, the equipment analyzes characteristic value signals of the one or more specific gestures/actions of the user within a certain time range to obtain a password check matrix, the probability density comparison is carried out on the password check matrix and a password setting matrix stored in the equipment or a cloud server, if the probability density exceeds a set threshold value, the password matching is considered to be successful, and therefore the unlocking is carried out through wireless communication.
10. The encryption and decryption method according to claim 9, wherein:
the muscle current signal characteristic value comprises at least one of power, current intensity, frequency spectrum characteristics, duration and number of zero-crossing points of the muscle current signal.
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| 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 | Electrocardiosignal-based random sequence generation device |
| 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 | Online gesture recognition method for myoelectric 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 |
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