CN111914684A - Method and system for extracting physical fingerprint characteristic image of equipment - Google Patents
Method and system for extracting physical fingerprint characteristic image of equipment Download PDFInfo
- Publication number
- CN111914684A CN111914684A CN202010675924.7A CN202010675924A CN111914684A CN 111914684 A CN111914684 A CN 111914684A CN 202010675924 A CN202010675924 A CN 202010675924A CN 111914684 A CN111914684 A CN 111914684A
- Authority
- CN
- China
- Prior art keywords
- physical fingerprint
- equipment
- fingerprint characteristic
- image
- signal
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000005070 sampling Methods 0.000 claims abstract description 46
- 238000000605 extraction Methods 0.000 claims abstract description 9
- 230000015654 memory Effects 0.000 claims description 38
- 230000010355 oscillation Effects 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 5
- 238000009499 grossing Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000004891 communication Methods 0.000 description 12
- 238000005457 optimization Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/80—Recognising image objects characterised by unique random patterns
Abstract
The invention discloses a method and a system for extracting a physical fingerprint characteristic image of equipment, wherein the method comprises the following steps: acquiring device physical fingerprint characteristic parameters, wherein the device physical fingerprint characteristic parameters comprise: frequency deviation, namely obtaining a direct current offset sequence and a signal amplitude envelope sequence according to the number of preset sampling points; establishing a discrete polar coordinate equation according to the physical fingerprint characteristic parameters of the equipment and the preset signal sampling rate; drawing an image of the physical fingerprint characteristics of the equipment by using a discrete polar coordinate equation; changing a preset signal sampling rate, adjusting the number of sampling points, and correspondingly drawing a plurality of groups of equipment physical fingerprint characteristic images; and selecting one set of equipment physical fingerprint characteristic images which accord with a preset stability condition from the multiple sets of equipment physical fingerprint characteristic images as the equipment physical fingerprint characteristic images. The display of different devices and modulation modes through a unified image form is realized, so that the final extraction method can be unified.
Description
Technical Field
The invention relates to the field of wireless communication and information security, in particular to a method and a system for extracting a physical fingerprint characteristic image of equipment.
Background
Due to the openness of the wireless network, compared with a traditional wired network, the wireless network is more easily attacked by large-scale malicious attacks, the safety problem of the wireless network has higher hidden danger, the equipment physical fingerprint technology extracts the equipment fingerprint of the equipment by analyzing communication signals of wireless equipment, so that different equipment is identified and authenticated, the equipment fingerprint represents circuit hardware difference caused by tolerance of circuit design and production manufacturing of a transmitter, and the circuit hardware difference can be parasitized in the communication signals, so that different equipment has different radio frequency fingerprints. In the prior art, the device fingerprint mainly extracts transient and steady-state characteristics of a signal transmitted by wireless equipment, and the problem that the final judgment method is completely different by adopting different extraction methods and characteristics for different devices and modulation modes exists.
Disclosure of Invention
Therefore, the method and the system for extracting the device physical fingerprint characteristic image overcome the defect that the final judgment method is completely different by adopting different extraction methods and characteristics for different devices and modulation modes in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme:
in a first aspect, an embodiment of the present invention provides an apparatus physical fingerprint feature image extraction method, including:
acquiring device physical fingerprint characteristic parameters, wherein the device physical fingerprint characteristic parameters comprise: frequency deviation, namely obtaining a direct current offset sequence and a signal amplitude envelope sequence according to the number of preset sampling points;
establishing a discrete polar coordinate equation according to the physical fingerprint characteristic parameters of the equipment and the preset signal sampling rate;
drawing an image of the physical fingerprint characteristics of the equipment by using a discrete polar coordinate equation;
changing a preset signal sampling rate, adjusting the number of sampling points, and correspondingly drawing a plurality of groups of equipment physical fingerprint characteristic images;
and selecting one set of equipment physical fingerprint characteristic images which accord with a preset stability condition from the multiple sets of equipment physical fingerprint characteristic images as the equipment physical fingerprint characteristic images.
In one embodiment, any one of a group of device physical fingerprint characteristic images meeting a preset stability condition is selected as the device physical fingerprint characteristic image.
In one embodiment, the dc offset sequence is calculated by the following equation:
wherein s isiIs the signal amplitude of the ith sample point of the sequence.
In one embodiment, the discrete polar equation is established by the following equation:
where Δ f is the frequency deviation, Δ di(i-1, …, n) is a dc offset sequence, ki(i-1, …, n) is the amplitude envelope sequence of the intermediate frequency signal, n is the number of sample points, fcIs a signalSample rate of (p)iAn amplitude quantity, theta, generated by superimposing a DC offset sequence on an amplitude envelope sequence of the received intermediate frequency signaliThe amount of phase rotation generated for the frequency deviation.
In an embodiment, after the half-wave arrangement and the smoothing processing are sequentially performed on the original signal of the device transmission signal, the amplitude envelope sequence of the intermediate frequency signal is generated according to the sampling of the preset sampling rate of the signal, and the intermediate frequency signal is a primary intermediate frequency signal or a zero intermediate frequency.
In one embodiment, the preset stability condition includes: the identification rate is greater than a preset threshold value, and the stability of the multiple groups of equipment physical fingerprint characteristic images is highest.
In one embodiment, the frequency offset is an average offset between local oscillation frequencies at the transmitting end and the receiving end of the device.
In a second aspect, an embodiment of the present invention provides an apparatus physical fingerprint feature image extraction system, including:
a parameter obtaining module, configured to obtain device physical fingerprint feature parameters, where the device physical fingerprint feature parameters include: frequency deviation, namely obtaining a direct current offset sequence and a signal amplitude envelope sequence according to the number of preset sampling points;
the polar coordinate equation establishing module is used for establishing a discrete polar coordinate equation according to the physical fingerprint characteristic parameters of the equipment and the signal preset sampling rate;
the image drawing module is used for drawing an image of the physical fingerprint characteristics of the equipment by using a discrete polar coordinate equation;
the parameter adjusting module is used for changing the preset sampling rate of the signal, adjusting the number of sampling points and correspondingly drawing a plurality of groups of equipment physical fingerprint characteristic images;
and the image generation module selects one group of equipment physical fingerprint characteristic images which accord with the preset stability condition from the multiple groups of equipment physical fingerprint characteristic images as the equipment physical fingerprint characteristic images.
In a third aspect, an embodiment of the present invention provides a terminal, including: the device comprises at least one processor and a memory which is connected with the at least one processor in a communication mode, wherein the memory stores instructions which can be executed by the at least one processor, and the instructions are executed by the at least one processor so as to enable the at least one processor to execute the method for extracting the physical fingerprint feature image of the device according to the first aspect of the embodiment of the invention.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to cause the computer to execute the method for extracting a physical fingerprint feature image of a device according to the first aspect of the embodiment of the present invention.
The technical scheme of the invention has the following advantages:
according to the method and the system for extracting the device physical fingerprint feature image, the digital feature of the device physical fingerprint is displayed, the device physical feature is displayed in the image, and the image with high identification stability is preferably displayed as the final device physical fingerprint feature through continuous optimization of the displayed image parameters. The difference can be found more visually through the display mode of the image, the rapid and simple qualitative judgment of the physical fingerprint of the equipment is provided, the display of different equipment and different modulation modes through a unified image mode is realized, the final judgment method can be unified, the difference can be found more visually through the display mode of the image to realize the judgment, the rapid and simple qualitative judgment of the fingerprint of the equipment is provided, and the practicability of the physical fingerprint method of the equipment is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a method for extracting a physical fingerprint feature image of a device according to an embodiment of the present invention;
fig. 2 is an image representation of a device physical fingerprint of a method for extracting a device physical fingerprint feature image according to an embodiment of the present invention;
fig. 3 is an image representation of a physical fingerprint of another device according to an embodiment of the present invention;
fig. 4 is a block diagram of a system for extracting a physical fingerprint feature image of a device according to an embodiment of the present invention;
fig. 5 is a composition diagram of a specific example of a terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The method for extracting the physical fingerprint characteristic image of the equipment, which is provided by the embodiment of the invention, as shown in fig. 1, comprises the following steps:
step S1: acquiring device physical fingerprint characteristic parameters, wherein the device physical fingerprint characteristic parameters comprise: and frequency deviation, namely obtaining a direct current offset sequence and a signal amplitude envelope sequence according to the number of preset sampling points.
In an embodiment of the invention, the physical fingerprint of the device comprises: the physical fingerprint of the wired device and the physical fingerprint of the wireless device are only given by way of example, and not limited thereto, and in practical applications, the corresponding device is selected, and the device physical fingerprint refers to a device feature or a unique device identifier that can be used for identifying the device.
In the embodiment of the present invention, the frequency deviation Δ f is an average deviation between the local oscillation frequency of the transmitting end and the local oscillation frequency of the receiving end.
In the embodiment of the present invention, the dc offset sequence is a varying signal average energy, and is calculated by the following formula:
wherein s isiIs the signal amplitude of the ith sample point of the sequence.
In the embodiment of the invention, after the original signal of the equipment transmitting signal is subjected to half-wave sorting and smoothing in sequence, the signal is sampled according to the preset sampling rate to generate the amplitude envelope sequence k of the intermediate frequency signali(i ═ 1, …, n), the intermediate frequency signal is a primary intermediate frequency signal or a zero intermediate frequency.
In the embodiment of the present invention, the frequency deviation Δ f, direct currentOffset sequence deltadi(i ═ 1, …, n), sequence k of the amplitude envelopes of the intermediate frequency signalsi(i-1, …, n) are common features of wireless signals, and any wireless signal may be used.
Step S2: and establishing a discrete polar coordinate equation according to the physical fingerprint characteristic parameters of the equipment and the signal preset sampling rate.
In the embodiment of the present invention, the discrete polar equation is established by the following formula:
where Δ f is the frequency deviation, Δ di(i-1, …, n) is a dc offset sequence, ki(i-1, …, n) is the amplitude envelope sequence of the intermediate frequency signal, n is the number of sample points, fcAs the sampling rate of the signal, piAn amplitude quantity, theta, generated by superimposing a DC offset sequence on an amplitude envelope sequence of the received intermediate frequency signaliThe amount of phase rotation generated for the frequency deviation.
Step S3: and drawing an image of the physical fingerprint characteristics of the equipment by using a discrete polar coordinate equation.
In the embodiment of the invention, the polar coordinate curve is drawn into an image to form an image of the physical fingerprint characteristics of the equipment, wherein different parameters are set to obtain different images correspondingly, and the display mode of the image can more intuitively search for differences to realize judgment, thereby providing rapid and simple qualitative judgment of the equipment fingerprint.
In a specific embodiment, a wireless device transmitting signal is collected and its physical fingerprint features are screened according to the frequency deviation Δ f and the DC offset sequence Δ di(i ═ 1, …, n), sequence k of the amplitude envelopes of the intermediate frequency signalsi(i-1, …, n) as the basic feature class of the image presentation, n being the number of sample points. The frequency deviation delta f is the average deviation between the local oscillation frequency of the transmitting end and the local oscillation frequency of the receiving end, and the actual calculated value is 10 KHz; DC offset sequence Δ di(i-1, …, n), the actual calculated value Δ diEpsilon (-0.11V, 0.23V); amplitude envelope sequence k of intermediate frequency signali(i ═ 1, …, n), the actual calculated value kiE (0, 2.5V); the number n of sampling points is 3000, and n can be adjusted by controlling the sampling time.
In the embodiment of the present invention, it is assumed that the sampling rate of the signal is fc，fcAnd taking 1Msps, establishing a discrete polar coordinate equation, and drawing an image of the physical fingerprint characteristics of the equipment as shown in FIG. 2.
When the method of the embodiment of the invention is operated on another device, the device physical fingerprint characteristic image with the parameter set as the sampling rate of 1Msps and the frequency offset of 15KHz is presented, as shown in figure 3, the image of the device physical fingerprint characteristic is drawn, and by comparing the figure 2 with the figure 3, the obvious difference can be found, which indicates that the image presentation method has converted the device physical fingerprint characteristic into the image characteristic.
Step S4: and changing the preset sampling rate of the signal, adjusting the number of sampling points, and correspondingly drawing a plurality of groups of equipment physical fingerprint characteristic images.
In the embodiment of the invention, the preset sampling rate f of the signal is changedcAdjusting the analysis time period (the number of sampling points, namely changing n) of the signal, correspondingly drawing a plurality of groups of physical fingerprint characteristic images of the equipment, wherein the preset sampling rate of the signal is fc1Then, a group of physical fingerprint characteristic images of the equipment are correspondingly drawn by adjusting the number of sampling points; when the signal preset sampling rate is fc2And then, correspondingly drawing a group of equipment physical fingerprint characteristic images by adjusting the number of sampling points, namely changing the preset sampling rate of the signal, adjusting the number of the sampling points, and correspondingly drawing a plurality of groups of equipment physical fingerprint characteristic images.
Step S5: and selecting one set of equipment physical fingerprint characteristic images which accord with a preset stability condition from the multiple sets of equipment physical fingerprint characteristic images as the equipment physical fingerprint characteristic images.
In an embodiment of the present invention, the preset stability condition includes: the identification rate is greater than a preset threshold value, and the stability of the multiple groups of equipment physical fingerprint characteristic images is highest. The method comprises the steps of selecting a group of images with the smallest image change amplitude from multiple groups of generated equipment physical fingerprint characteristic images, wherein each pixel point of the images represents the light and shade characteristics, texture characteristics and the like of the images, only by way of example and without limitation, selecting corresponding representation information in practical application, determining the change amplitude of the images through the change of each pixel point, at the moment, correspondingly determining the stable identification parameters of the equipment physical fingerprint characteristic images, optimizing the image parameters continuously, preferably presenting the images with high identification rate as the final equipment physical fingerprint characteristics, namely, the identification rate is greater than a preset threshold, only by way of example and without limitation, and selecting a corresponding judgment method according to practical requirements in practical application.
In the embodiment of the invention, any one image in a group of equipment physical fingerprint characteristic images meeting the preset stability condition is selected as the equipment physical fingerprint characteristic image. After one image with the highest stability in the multiple groups of equipment physical fingerprint characteristic images is selected, the change of the images among the equipment physical fingerprint characteristic images with the highest stability is relatively stable, and therefore any one image is selected as the equipment physical fingerprint characteristic image.
According to the method for extracting the device physical fingerprint feature image, provided by the embodiment of the invention, the device physical feature is displayed in the image by performing image presentation on the digital feature of the device physical fingerprint, and the image with high stability is preferably selected as the final device physical fingerprint feature presentation by presenting the continuous optimization of the image parameters. The difference can be found more visually through the display mode of the image, the rapid and simple qualitative judgment of the physical fingerprint of the equipment is provided, the display of different equipment and different modulation modes through a unified image mode is realized, the final judgment method can be unified, the difference can be found more visually through the display mode of the image to realize the judgment, the rapid and simple qualitative judgment of the fingerprint of the equipment is provided, and the practicability of the physical fingerprint method of the equipment is improved.
Example 2
The embodiment of the present invention provides an extraction system for a device physical fingerprint feature image, as shown in fig. 4, including:
a parameter obtaining module 1, configured to obtain device physical fingerprint characteristic parameters, where the device physical fingerprint characteristic parameters include: frequency deviation, namely obtaining a direct current offset sequence and a signal amplitude envelope sequence according to the number of preset sampling points; this module executes the method described in step S1 in embodiment 1, and is not described herein again.
The polar coordinate equation establishing module 2 is used for establishing a discrete polar coordinate equation according to the physical fingerprint characteristic parameters of the equipment and the preset signal sampling rate; this module executes the method described in step S2 in embodiment 1, and is not described herein again.
The image drawing module 3 is used for drawing an image of the physical fingerprint characteristics of the equipment by using a discrete polar coordinate equation; this module executes the method described in step S3 in embodiment 1, and is not described herein again.
The parameter adjusting module 4 is used for changing the preset sampling rate of the signal, adjusting the number of sampling points and correspondingly drawing a plurality of groups of equipment physical fingerprint characteristic images; this module executes the method described in step S4 in embodiment 1, and is not described herein again.
The image generation module 5 selects one set of equipment physical fingerprint characteristic images which meet the preset stability condition from the multiple sets of equipment physical fingerprint characteristic images as the equipment physical fingerprint characteristic images; this module executes the method described in step S5 in embodiment 1, and is not described herein again.
The embodiment of the invention provides an extraction system of a device physical fingerprint characteristic image, and provides a method for presenting the device physical characteristic in an image by presenting the digital characteristic of the device physical fingerprint, and preferably presenting an image with high identification stability as the final device physical fingerprint characteristic by presenting the continuous optimization of image parameters. The difference can be found more visually through the display mode of the image, the rapid and simple qualitative judgment of the physical fingerprint of the equipment is provided, the display of different equipment and different modulation modes through a unified image mode is realized, the final judgment method can be unified, the difference can be found more visually through the display mode of the image to realize the judgment, the rapid and simple qualitative judgment of the fingerprint of the equipment is provided, and the practicability of the physical fingerprint method of the equipment is improved.
Example 3
An embodiment of the present invention provides a terminal, as shown in fig. 5, including: at least one processor 401, such as a CPU (Central Processing Unit), at least one communication interface 403, memory 404, and at least one communication bus 402. Wherein a communication bus 402 is used to enable connective communication between these components. The communication interface 403 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a standard wireless interface. The Memory 404 may be a high-speed RAM Memory (Random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 404 may optionally be at least one memory device located remotely from the processor 401. Wherein the processor 401 may execute the method for extracting the physical fingerprint feature image of the device in embodiment 1. A set of program codes is stored in the memory 404, and the processor 401 calls the program codes stored in the memory 404 for executing the extraction method of the device physical fingerprint feature image in embodiment 1. The communication bus 402 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 402 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one line is shown in FIG. 5, but this does not represent only one bus or one type of bus. The memory 404 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated: HDD) or a solid-state drive (english: SSD); the memory 404 may also comprise a combination of memories of the kind described above. The processor 401 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The memory 404 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated: HDD) or a solid-state drive (english: SSD); the memory 404 may also comprise a combination of memories of the kind described above.
The processor 401 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 401 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 404 is also used to store program instructions. The processor 401 may call program instructions to implement the method for extracting the physical fingerprint feature image of the device in embodiment 1 as described in this application.
The embodiment of the invention further provides a computer-readable storage medium, wherein computer-executable instructions are stored on the computer-readable storage medium, and the computer-executable instructions can execute the method for extracting the device physical fingerprint feature image in the embodiment 1. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the spirit or scope of the invention.
Claims (10)
1. A method for extracting a physical fingerprint characteristic image of equipment is characterized by comprising the following steps:
acquiring device physical fingerprint characteristic parameters, wherein the device physical fingerprint characteristic parameters comprise: frequency deviation, namely obtaining a direct current offset sequence and a signal amplitude envelope sequence according to the number of preset sampling points;
establishing a discrete polar coordinate equation according to the physical fingerprint characteristic parameters of the equipment and the preset signal sampling rate;
drawing an image of the physical fingerprint characteristics of the equipment by using a discrete polar coordinate equation;
changing a preset signal sampling rate, adjusting the number of sampling points, and correspondingly drawing a plurality of groups of equipment physical fingerprint characteristic images;
and selecting one set of equipment physical fingerprint characteristic images which accord with a preset stability condition from the multiple sets of equipment physical fingerprint characteristic images as the equipment physical fingerprint characteristic images.
2. The method for extracting the device physical fingerprint feature image according to claim 1, wherein any one image in a group of device physical fingerprint feature images meeting a preset stability condition is selected as the device physical fingerprint feature image.
3. The method for extracting the physical fingerprint characteristic image of the equipment according to claim 1, wherein the direct current offset sequence is calculated by the following formula:
wherein s isiIs the signal amplitude of the ith sample point of the sequence.
4. The method for extracting the physical fingerprint feature image of the equipment according to claim 3, wherein the discrete polar coordinate equation is established by the following formula:
where Δ f is the frequency deviation, Δ di(i-1, …, n) is a dc offset sequence, ki(i-1, …, n) is the amplitude envelope sequence of the intermediate frequency signal, n is the number of sample points, fcAs the sampling rate of the signal, piAn amplitude quantity, theta, generated by superimposing a DC offset sequence on an amplitude envelope sequence of the received intermediate frequency signaliThe amount of phase rotation generated for the frequency deviation.
5. The method for extracting the device physical fingerprint feature image according to claim 4, wherein after the half-wave finishing and smoothing processing are sequentially performed on the original signal of the device transmission signal, the original signal is sampled according to a preset sampling rate of the signal to generate an amplitude envelope sequence of an intermediate frequency signal, and the intermediate frequency signal is a primary intermediate frequency signal or a zero intermediate frequency.
6. The method for extracting the physical fingerprint feature image of the device according to claim 1, wherein the preset stability condition comprises: the identification rate is greater than a preset threshold value, and the stability of the multiple groups of equipment physical fingerprint characteristic images is highest.
7. The method for extracting the physical fingerprint characteristic image of the equipment according to claim 4, wherein the frequency deviation is an average deviation between local oscillation frequencies of a transmitting end and a receiving end of the equipment.
8. An extraction system for a device physical fingerprint characteristic image is characterized by comprising:
a parameter obtaining module, configured to obtain device physical fingerprint feature parameters, where the device physical fingerprint feature parameters include: frequency deviation, namely obtaining a direct current offset sequence and a signal amplitude envelope sequence according to the number of preset sampling points;
the polar coordinate equation establishing module is used for establishing a discrete polar coordinate equation according to the physical fingerprint characteristic parameters of the equipment and the signal preset sampling rate;
the image drawing module is used for drawing an image of the physical fingerprint characteristics of the equipment by using a discrete polar coordinate equation;
the parameter adjusting module is used for changing the preset sampling rate of the signal, adjusting the number of sampling points and correspondingly drawing a plurality of groups of equipment physical fingerprint characteristic images;
and the image generation module selects one group of equipment physical fingerprint characteristic images which accord with the preset stability condition from the multiple groups of equipment physical fingerprint characteristic images as the equipment physical fingerprint characteristic images.
9. A terminal, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the method for extracting an image of a physical fingerprint feature of a device according to any one of claims 1 to 7.
10. A computer-readable storage medium storing computer instructions for causing a computer to execute the method for extracting the physical fingerprint feature image of the device according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010675924.7A CN111914684A (en) | 2020-07-14 | 2020-07-14 | Method and system for extracting physical fingerprint characteristic image of equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010675924.7A CN111914684A (en) | 2020-07-14 | 2020-07-14 | Method and system for extracting physical fingerprint characteristic image of equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111914684A true CN111914684A (en) | 2020-11-10 |
Family
ID=73281591
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010675924.7A Pending CN111914684A (en) | 2020-07-14 | 2020-07-14 | Method and system for extracting physical fingerprint characteristic image of equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111914684A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112347966A (en) * | 2020-12-31 | 2021-02-09 | 网络通信与安全紫金山实验室 | Method and device for extracting physical fingerprint of equipment, electronic equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105357014A (en) * | 2015-11-25 | 2016-02-24 | 东南大学 | Wireless equipment radio frequency fingerprint feature extraction method based on differential constellation track diagram |
| US20170212210A1 (en) * | 2014-07-17 | 2017-07-27 | Origin Wireless, Inc. | Wireless positioning systems |
| CN110851883A (en) * | 2019-10-29 | 2020-02-28 | 武汉极意网络科技有限公司 | Equipment fingerprint generation method and device based on picture drawing |
-
2020
- 2020-07-14 CN CN202010675924.7A patent/CN111914684A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170212210A1 (en) * | 2014-07-17 | 2017-07-27 | Origin Wireless, Inc. | Wireless positioning systems |
| CN105357014A (en) * | 2015-11-25 | 2016-02-24 | 东南大学 | Wireless equipment radio frequency fingerprint feature extraction method based on differential constellation track diagram |
| CN110851883A (en) * | 2019-10-29 | 2020-02-28 | 武汉极意网络科技有限公司 | Equipment fingerprint generation method and device based on picture drawing |
Non-Patent Citations (2)
| Title |
|---|
| VLADIMIR BRIK，ET AL.: "Wireless device identification with radiometric signatures", PROC. ACM INT CONF. MOBILE COMPUT BETW * |
| 李古月;俞佳宝;胡爱群;: "基于设备与信道特征的物理层安全方法", 密码学报, no. 02 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112347966A (en) * | 2020-12-31 | 2021-02-09 | 网络通信与安全紫金山实验室 | Method and device for extracting physical fingerprint of equipment, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106708951B (en) | The client image of ownership certification is supported to obscure De-weight method | |
| CN106228186B (en) | Classification hyperspectral imagery apparatus and method | |
| CN108418727B (en) | Method and system for detecting network equipment | |
| CN109903210B (en) | Watermark removal method, watermark removal device and server | |
| DE102017111124A1 (en) | Secure and intelligent login facility | |
| CN105682090A (en) | Device control method and control terminal response method and apparatus | |
| WO2021159802A1 (en) | Graphical captcha recognition method, apparatus, computer device, and storage medium | |
| JP2017116473A (en) | Terminal device, diagnostic system and program | |
| CN111914684A (en) | Method and system for extracting physical fingerprint characteristic image of equipment | |
| CN109446791A (en) | New equipment recognition methods, device, server and computer readable storage medium | |
| US20170026899A1 (en) | Determination method and corresponding terminal, computer program product and storage medium | |
| CN105955475B (en) | Screen wallpaper switching method of intelligent terminal and intelligent terminal | |
| CN108683901B (en) | Data processing method, MEC server and computer readable storage medium | |
| CN106446791A (en) | Smart city public monitoring system | |
| CN111309946B (en) | Established file optimization method and device | |
| CN111126147B (en) | Image processing method, device and electronic system | |
| CN110380902B (en) | Topological relation generation method and device, electronic equipment and storage medium | |
| US11288158B2 (en) | Device identification device and device identification method | |
| CN106534113B (en) | SSH connection establishment method and device | |
| CN114286084A (en) | Video link test method and device | |
| CN111586658B (en) | Bluetooth transmission method and system based on image recognition service in transformer substation | |
| CN110620682B (en) | Resource information acquisition method and device, storage medium and terminal | |
| CN106095806A (en) | A kind of automatic patching system and method | |
| KR20230079938A (en) | Object extractiing system include in paper image using ocr and method thereof | |
| CN109829389B (en) | Machine displacement determination method, device and computer storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |