CN110941020B - Detection method and device for stolen shooting equipment based on electromagnetic leakage - Google Patents

Detection method and device for stolen shooting equipment based on electromagnetic leakage Download PDF

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CN110941020B
CN110941020B CN201911297646.XA CN201911297646A CN110941020B CN 110941020 B CN110941020 B CN 110941020B CN 201911297646 A CN201911297646 A CN 201911297646A CN 110941020 B CN110941020 B CN 110941020B
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electromagnetic
equipment
electromagnetic fingerprint
fingerprint
target
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CN110941020A (en
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信心
范渊
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DBAPPSecurity Co Ltd
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DBAPPSecurity Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/12Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0252Radio frequency fingerprinting

Abstract

The invention provides a method and a device for detecting a stolen shooting apparatus based on electromagnetic leakage, which relate to the technical field of electronic products and comprise the following steps: firstly, acquiring a target electromagnetic fingerprint model; then, collecting a target electromagnetic fingerprint at any position in the area to be detected by using a detection probe; calculating the gain value of each electromagnetic fingerprint in the acquired target electromagnetic fingerprint and the target electromagnetic fingerprint model to obtain at least one gain value; and finally, determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not based on at least one gain value. The target electromagnetic fingerprint model can avoid the interference of the external environment and improve the accuracy of detection. The invention can realize the automatic collection of the electromagnetic fingerprint by using the detection probe. The protection of electromagnetic leakage is difficult to realize in the use scene of the equipment of shooing stolen, so the discovery rate of the equipment of shooing stolen can be improved.

Description

Detection method and device for stolen shooting equipment based on electromagnetic leakage
Technical Field
The invention relates to the technical field of electronic products, in particular to a method and a device for detecting a stolen shooting apparatus based on electromagnetic leakage.
Background
With the increasing of the shooting behavior, the black industrial chain market brought by shooting equipment is infinitely expanded. The anti-theft equipment is gradually developed towards the direction of universal scheme and batch standard production, and by taking the most common anti-theft equipment, namely the pinhole camera as an example, manufacturers produce standardized main boards and standardized lens modules, and purchasers can assemble and disguise the anti-theft equipment by themselves. In this mode, various camouflaging schemes for the equipment to be shot are available.
The traditional optical detection technology is interfered by the surface material of a camera, a light source and the environment, and the accuracy is influenced. Since the pirate equipment has evolved a one-way lens technology that works against conventional optical detection, the discovery rate of conventional optical detection is low. And according to the objective principle of optical detection, the detection method is difficult to realize automatic detection.
Disclosure of Invention
The invention aims to provide a method and a device for detecting a stolen camera equipment based on electromagnetic leakage, which improve the detection accuracy and realize automatic detection of the stolen camera equipment through automatic acquisition of electromagnetic fingerprints.
The invention provides a detection method of a stolen camera equipment based on electromagnetic leakage, which comprises the following steps: acquiring a target electromagnetic fingerprint model, wherein the target electromagnetic fingerprint model is an electromagnetic fingerprint model obtained after sampling background environment electromagnetism in a region to be detected; collecting target electromagnetic fingerprints at any position in the area to be detected by using a detection probe; calculating the gain value of each electromagnetic fingerprint in the acquired target electromagnetic fingerprint and the target electromagnetic fingerprint model to obtain at least one gain value; and determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not based on the at least one gain value.
Further, determining whether the device corresponding to the target electromagnetic fingerprint is a pirate device based on the at least one gain value comprises: and if any gain value in the at least one gain value is higher than or equal to a preset threshold value, determining the equipment corresponding to the target electromagnetic fingerprint as a pirate equipment.
Further, after the device corresponding to the target electromagnetic fingerprint is determined to be a pirate equipment, the method further includes: and positioning the equipment to be shot based on the target electromagnetic fingerprint to obtain the geographical position of the equipment to be shot.
Further, the method further comprises: and if the target electromagnetic fingerprint is not acquired, determining that the equipment to be shot is not found in the area to be detected.
Further, the method further comprises: and if all the gain values in the at least one gain value are lower than a preset threshold value, moving the detection probe to detect the next region to be detected.
Further, obtaining the target electromagnetic fingerprint model comprises: sampling background environment electromagnetism in a region to be detected to obtain a sampling result; and correcting at least one electromagnetic fingerprint in a preset electromagnetic fingerprint model based on the sampling result to obtain a target electromagnetic fingerprint model.
The invention provides a detection device for a stolen shooting apparatus based on electromagnetic leakage, which comprises: the acquisition module is used for acquiring a target electromagnetic fingerprint model, wherein the target electromagnetic fingerprint model is an electromagnetic fingerprint model obtained after sampling background environment electromagnetism in a region to be detected; the acquisition module is used for acquiring a target electromagnetic fingerprint by using a detection probe at any position in the area to be detected; the calculation module is used for calculating the gain value of each electromagnetic fingerprint in the acquired target electromagnetic fingerprint and the target electromagnetic fingerprint model to obtain at least one gain value; and the first determination module is used for determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not based on the at least one gain value.
Further, the first determining module comprises: and the determining unit is used for determining the equipment corresponding to the target electromagnetic fingerprint as a pirate equipment if any gain value in the at least one gain value is higher than or equal to a preset threshold value.
The invention also provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor realizes the detection method of the shooting stealing equipment based on electromagnetic leakage when executing the computer program.
The present invention also provides a computer readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to execute the method for detecting a pirate material based on electromagnetic leakage.
The invention provides a detection method and a device of a stolen camera equipment based on electromagnetic leakage, which comprises the steps of firstly obtaining a target electromagnetic fingerprint model, wherein the target electromagnetic fingerprint model is obtained after sampling background environment electromagnetism in a region to be detected; then, collecting target electromagnetic fingerprints at any position in the area to be detected by using a detection probe; calculating the gain value of each electromagnetic fingerprint in the acquired target electromagnetic fingerprint and the target electromagnetic fingerprint model to obtain at least one gain value; and finally, determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate shooting equipment or not based on at least one gain value. The target electromagnetic fingerprint model can be automatically corrected by local environment electromagnetism in different environments, and the correction process can ensure that the target electromagnetic fingerprint model has the capability of avoiding the interference of most external environments and improve the detection accuracy. Because the stolen shooting equipment can generate the electromagnetic fingerprint without fail, the invention can realize the automatic acquisition of the electromagnetic fingerprint by utilizing the detection probe, thereby realizing the automatic discovery of the stolen shooting equipment. In addition, the protection of electromagnetic leakage is difficult to realize in the use scene of the shooting-stealing equipment, so the finding rate of the shooting-stealing equipment can be 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 method for detecting a stolen camera apparatus based on electromagnetic leakage according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of the detection apparatus;
FIG. 3 is a flow chart of another method for detecting stolen camera equipment based on electromagnetic leakage according to an embodiment of the present invention;
FIG. 4 is a flowchart of step S101 in FIG. 1;
fig. 5 is a flow chart of a structure of a detection apparatus for a stolen camera equipment based on electromagnetic leakage according to an embodiment of the present invention;
fig. 6 is a flow chart of another apparatus for detecting stolen camera equipment based on electromagnetic leakage according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of the acquisition module in fig. 5.
Icon:
11-an acquisition module; 12-an acquisition module; 13-a calculation module; 14-a first determination module; 15-a positioning module; 16-a second determination module; 17-a movement module; 21-a sampling unit; 22-correction unit.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be apparent that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The traditional optical detection technology is interfered by the surface material of a camera, a light source and the environment, and the accuracy is influenced. Since the pirate equipment has evolved a one-way lens technology that is resistant to conventional optical detection, the discovery rate of conventional optical detection is low. And according to the objective principle of optical detection, the detection method is difficult to realize automatic detection. In addition to the traditional optical inspection methods, there are several inspection methods on the market, but each has its own drawbacks. For example, a detection method based on intranet equipment feature discovery exists in the market, and the detection method has a use premise that a network used by a pirate equipment for transmitting data can be accessed. The drawback of this detection method is that it does not allow efficient probing when the network denies access. For the stolen shooting equipment of the encrypted traffic, the discovery rate is poor due to the fact that the data stream cannot be decrypted. Aiming at the self-designed shooting-stealing equipment, the discovery rate is poor due to the lack of the preset related feature library.
There are also detection methods based on the MAC address (Media Access Control address) black list, which rely on black and white lists. Even if the stolen camera equipment of the whole manufacturer is added into the blacklist, the possibility that individual users bypass detection by modifying the MAC address exists, serious false alarm and false negative are easily caused, and the reliability is low.
The detection method of the shotgun type wireless frequency scanner in the market can detect whether most targets to be detected send out electromagnetic waves, and other electronic products except for the shooting-stealing equipment also have the electromagnetic waves, so that the detection method needs to be combined with user experience for detection, the shooting-stealing equipment parasitic in legal electronic products is difficult to detect, and the shooting-stealing equipment is easy to be omitted by users.
Based on the above, the detection method and device for the stolen camera equipment based on the electromagnetic leakage provided by the embodiment of the invention can eliminate the interference of the environment, improve the accuracy of the stolen camera equipment, improve the discovery rate of the stolen camera equipment based on the electromagnetic leakage, and further realize automatic detection.
For the convenience of understanding the embodiment, a detailed description will be given to a method for detecting a stolen camera equipment based on electromagnetic leakage, which is disclosed in the embodiment of the present invention.
The first embodiment is as follows:
fig. 1 is a flowchart of a method for detecting a stolen camera apparatus based on electromagnetic leakage according to an embodiment of the present invention. Referring to fig. 1, a method for detecting a stolen camera apparatus based on electromagnetic leakage according to an embodiment of the present invention may include the following steps:
and step S101, acquiring a target electromagnetic fingerprint model.
In the embodiment of the invention, the target electromagnetic fingerprint model is an electromagnetic fingerprint model obtained after sampling background environment electromagnetism in the region to be detected. The electromagnetic fingerprint in the target electromagnetic fingerprint model is a result obtained by removing background environment electromagnetism from an electromagnetic fingerprint preset when the stolen shooting equipment leaves a factory, and the result is generally stored in a relative proportion or relative threshold form. Furthermore, the electromagnetic fingerprint model can be adjusted by utilizing a preset artificial model.
Background environmental electromagnetism can refer to electromagnetic spectrum characteristics of an area to be detected in a macroscopic range, and the characteristics generally can generate different environmental electromagnetic interferences due to high-voltage/low-voltage transmission cables, traditional electromechanical and electrical equipment, network and computer equipment, intelligent household liberation scheme equipment and the like which normally exist in the environment. For example, room a, when plugged with a poorly shielded USB (Universal Serial Bus) device, may generate EMI (electromagnetic Interference) spikes at 24 MHZ; and the room B does not have USB devices, such electromagnetic interference does not exist. Therefore, the environments of different areas to be detected are different, and the generated electromagnetic interference is also different. In order to enable the detection method of the stolen camera equipment based on electromagnetic leakage to work normally in the areas to be detected under various environments, the background environment in the areas to be detected needs to be electromagnetically considered. That is, embodiments of the present invention may still function properly after being removed from an ideal laboratory environment.
And S102, acquiring the target electromagnetic fingerprint at any position in the area to be detected by using the detection probe.
In the embodiment of the invention, the target electromagnetic fingerprint is a specific electromagnetic leakage signal with strong identification degree generated by a pirate shooting device. The detection probe is a component responsible for acquisition in the detection equipment, can be a digital electromagnetic signal sampling module and is used for realizing the medium-short distance detection of target electromagnetic fingerprints and further discovering potential stolen shooting equipment. The medium-short distance can be a distance within a range of 0 meter to 10 meters in radius by taking an antenna of detection equipment where the detection probe is located as a circle center under the condition of no separation of a bearing wall. A user can collect electromagnetic original data of the region to be detected by holding the detection probe at any position in the region to be detected, and abstracts the electromagnetic original data to obtain a target electromagnetic fingerprint of the environment where the region to be detected is located.
Referring to fig. 2, the detection device is analyzed from a hardware level, and the structure of the detection device may include: one or several electromagnetic signal sampling modules including, but not limited to, analog super-regenerative circuitry, analog super-heterodyne circuitry, digital SDR (Software defined Radio) circuitry, etc., one or several processors for executing analysis algorithms, and an optional output device. Processors include, but are not limited to: MCU (Microcontroller Unit), SoC (System-on-a-Chip), and the like. The output device is used for outputting detection results, and the detection results include but are not limited to: the target electromagnetic fingerprint and other data related to the stolen equipment, such as RSSI, are data used to geo-locate the stolen equipment.
Step S103, calculating the gain value of each electromagnetic fingerprint in the collected target electromagnetic fingerprint and the target electromagnetic fingerprint model to obtain at least one gain value.
In the embodiment of the invention, the gain value of the target electromagnetic fingerprint and each electromagnetic fingerprint in the target electromagnetic fingerprint model is calculated, so that whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not can be distinguished.
And step S104, determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not based on at least one gain value.
The anti-theft shooting equipment is essentially high-speed video processing and code stream compression transmission equipment. The intelligent internet of things system is different from general intelligent internet of things equipment and often comprises a high-performance image processor and a high-speed image sensor. The two main devices and the circuit thereof are characterized by the core of detecting the stolen equipment.
Take the pinhole camera suit of code "V77" as an example, the pinhole camera includes: a high performance image processor (silicon HI3518) and a high speed image sensor. The back side of the image processor main board comprises a CPU power supply network consisting of a DC-DC circuit. The high-speed image sensor is used for transmitting a high-speed bit stream of image data, an antenna effect is generated on a strip-shaped flat cable of the high-speed image sensor, and finally a gain peak with typical characteristics is generated on a radio frequency corresponding to the bit rate of the image data transmitted by the high-speed image sensor in a radio frequency mode. The resonance generated on the PCB board by the high performance image processor and the DC-DC circuit used in the method also brings similar signal spikes, the spikes can be automatically sampled and sorted (may involve manual processing) by using the electromagnetic signal sampling module, and the sorted data is packaged into a specific data format, which is called as: an electromagnetic fingerprint. Because the electromagnetic fingerprint records the characteristics that the shooting-stealing equipment is a standard device, the electromagnetic fingerprint can be abstracted into a more universal electromagnetic fingerprint model after being measured, and the model converts the signal intensity into the relative signal gain in the abstraction process so as to relieve the interference caused by the electromagnetic noise of the background environment.
The detection method of the stolen camera equipment based on the electromagnetic leakage comprises the steps of obtaining a target electromagnetic fingerprint model, wherein the target electromagnetic fingerprint model is obtained after background environment electromagnetism in a region to be detected is sampled; then, collecting a target electromagnetic fingerprint at any position in the area to be detected by using a detection probe; calculating the gain value of each electromagnetic fingerprint in the acquired target electromagnetic fingerprint and the target electromagnetic fingerprint model to obtain at least one gain value; and finally, determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not based on at least one gain value. The target electromagnetic fingerprint model can be automatically corrected by local environment electromagnetism in different environments, and the correction process can ensure that the target electromagnetic fingerprint model has the capability of avoiding the interference of most external environments and improve the detection accuracy. Because the stolen shooting equipment can generate the electromagnetic fingerprint without fail, the invention can realize the automatic acquisition of the electromagnetic fingerprint by utilizing the detection probe, thereby realizing the automatic discovery of the stolen shooting equipment. In addition, the protection of electromagnetic leakage is difficult to realize in the use scene of the shooting-stealing equipment, so the finding rate of the shooting-stealing equipment can be improved.
Further, the specific operation of step S104 is as follows: and if any gain value in the at least one gain value is higher than or equal to a preset threshold value, determining the equipment corresponding to the target electromagnetic fingerprint as a pirate equipment.
In the embodiment of the present invention, if at least one of the at least one gain value is lower than the preset threshold, the device corresponding to the target electromagnetic fingerprint is automatically ignored. The embodiment of the invention only detects the stolen shooting equipment and does not process the non-stolen shooting equipment, thereby improving the detection discovery rate.
Further, referring to fig. 3, after step S104, another method for detecting a stolen camera equipment based on electromagnetic leakage further includes:
and S105, if the equipment corresponding to the target electromagnetic fingerprint is the stolen shooting equipment, positioning the stolen shooting equipment based on the target electromagnetic fingerprint to obtain the geographic position of the stolen shooting equipment.
In the embodiment of the invention, the positioning is carried out based on the characteristics of electromagnetic leakage of the mainboard where the image processor of the shooting-stealing equipment is positioned, the detection method can bypass the direct inspection of various camouflage objects, and the robustness of the shooting-stealing equipment is improved by identifying and positioning the core device of the shooting-stealing equipment.
In performing the detection method, movements of the device within the area to be detected are detected, including but not limited to: automated movement and user-held movement. And when the acquired target electromagnetic fingerprint of the detection equipment conforms to the target electromagnetic fingerprint model, determining that the equipment corresponding to the target electromagnetic fingerprint is the stolen shooting equipment. After the device corresponding to the target electromagnetic fingerprint is determined to be the stolen shooting device, the embodiment of the invention can also output the relevant information of the stolen shooting device, and the information can be used for data display and can also be used for positioning the physical position and the geographic position of the stolen shooting device.
Further, referring to fig. 3, after step S102, another method for detecting a stolen camera equipment based on electromagnetic leakage further includes:
and S106, if the target electromagnetic fingerprint is not acquired, determining that the stolen shooting equipment does not exist in the area to be detected.
Further, referring to fig. 3, after step S104, another method for detecting stolen camera equipment based on electromagnetic leakage further includes the following steps:
and S107, if all the gain values in the at least one gain value are lower than a preset threshold value, moving the detection probe to detect the next region to be detected.
In the embodiment of the invention, all the gain values are lower than the preset threshold value, which indicates that the gain values are not obvious, i.e. no stolen equipment exists, and can prompt a user to move the detection probe or automatically move the detection probe to continue detection.
Further, referring to fig. 4, step S101 may include the steps of:
step S401, background environment electromagnetism in the area to be detected is sampled, and a sampling result is obtained.
In the embodiment of the present invention, in order to sample more comprehensively, the sampling time may be a period of time. The background environment electromagnetism is introduced for the purpose of correcting the preset electromagnetic fingerprint model, and the correcting process can also be understood as a zeroing process.
And S402, correcting at least one electromagnetic fingerprint in the preset electromagnetic fingerprint model based on the sampling result to obtain a target electromagnetic fingerprint model.
The preset electromagnetic fingerprint model comprises a plurality of preset electromagnetic fingerprints, wherein the preset electromagnetic fingerprints are electromagnetic characteristics obtained by removing the electromagnetic property of the laboratory background environment from the original electromagnetic fingerprints of the shooting-stealing equipment in the laboratory environment. The target electromagnetic fingerprint model can remove local environment electromagnetism and certain electromagnetic noise. The target electromagnetic fingerprint model may be built into the detection device.
The preset electromagnetic fingerprint model is formed by the electromagnetic fingerprints of all the stolen shooting equipment, and the types of the electromagnetic fingerprints in the model are complete. In order to ensure that the preset electromagnetic fingerprint model has high matching degree, the model is widely adopted or must be adopted aiming at the stolen shooting equipment, and the types of the models are less, and the types of the models are not changed much, such as: a camera head main control and a CMOS (Complementary Metal Oxide Semiconductor) sensor device. Wherein, camera master control includes but not limited to: huashi, haisi camera product line, full mark video processing product line, CMOS sensor device include but are not limited to: OmniVision series, sony series.
At present, the types of key devices of the shooting-stealing equipment are few, and the consistency of the characteristics of electromagnetic leakage of the same type of shooting-stealing equipment is relatively close. Therefore, the device has better robustness when being modeled by using the electromagnetic leakage characteristics. With the development of the technology, the preset electromagnetic fingerprint model has the possibility of being out of date. If the preset electromagnetic fingerprint model is overdue, the user can update the preset electromagnetic fingerprint model library in an OTA (over the air) mode.
Based on the sampling result, at least one electromagnetic fingerprint in the preset electromagnetic fingerprint model is corrected, the preset electromagnetic fingerprint model can be calibrated, specifically, background environment electromagnetism of the area to be detected is used as a zero point and applied to the preset electromagnetic fingerprint model, and the target electromagnetic fingerprint model is obtained. The electromagnetic fingerprints in the target electromagnetic fingerprint model are all corrected reference thresholds. The reference threshold value can avoid interference signals and is beneficial to subsequent detection. The interference sources corresponding to the interference signals include, but are not limited to: high-voltage power grid, commercial power grid, metal water supply pipeline, other electronic equipment, temperature and humidity, radio frequency skin effect and the like.
The embodiment of the invention sequentially executes the steps until a preset stop condition is reached. The preset stop conditions include, but are not limited to: the user closes the detection equipment, and the automatic mobile detection equipment finishes the inspection of the whole room. If the preset stop condition is not met, the detection method is a dead loop and cannot exit.
The embodiment of the invention can realize effective detection of the shooting-stealing equipment under the conditions that the shooting-stealing equipment is diversified and difficult to identify, reduces false alarm of legal Internet of things equipment widely used at present, has certain automatic detection capability and can greatly reduce the technical threshold of a user.
Example two:
fig. 5 is a flow chart of a structure of a device for detecting a stolen camera apparatus based on electromagnetic leakage according to an embodiment of the present invention. Referring to fig. 5, the apparatus may include the following modules:
the acquisition module 11 is configured to acquire a target electromagnetic fingerprint model, where the target electromagnetic fingerprint model is an electromagnetic fingerprint model obtained after sampling background environment electromagnetism in a region to be detected;
the acquisition module 12 is used for acquiring a target electromagnetic fingerprint at any position in the area to be detected by using the detection probe;
the calculation module 13 is configured to calculate a gain value of each of the acquired target electromagnetic fingerprints and the target electromagnetic fingerprint model to obtain at least one gain value;
and the first determination module 14 is configured to determine whether the device corresponding to the target electromagnetic fingerprint is a pirate equipment based on the at least one gain value.
The detection device of the stolen camera equipment based on the electromagnetic leakage comprises an acquisition module, a detection module and a detection module, wherein the acquisition module is used for acquiring a target electromagnetic fingerprint model, and the target electromagnetic fingerprint model is obtained after background environment electromagnetism in a region to be detected is sampled; then, collecting the target electromagnetic fingerprint by using a detection probe at any position in the region to be detected by using a collection module; calculating the gain value of each electromagnetic fingerprint in the acquired target electromagnetic fingerprint and the target electromagnetic fingerprint model by using a calculation module to obtain at least one gain value; and finally, determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not by utilizing a first determination module based on at least one gain value. The target electromagnetic fingerprint model can be automatically corrected by local environment electromagnetism in different environments, and the correction process can ensure that the target electromagnetic fingerprint model has the capability of avoiding the interference of most external environments and improve the detection accuracy. Because the stolen shooting equipment can generate the electromagnetic fingerprint without fail, the invention can realize the automatic acquisition of the electromagnetic fingerprint by utilizing the detection probe, thereby realizing the automatic discovery of the stolen shooting equipment. In addition, the protection of electromagnetic leakage is difficult to realize in the use scene of the shooting-stealing equipment, so the finding rate of the shooting-stealing equipment can be improved.
Further, the first determining module 14 includes: and the determining unit is used for determining the equipment corresponding to the target electromagnetic fingerprint as the pirate equipment if at least one gain value is higher than or equal to a preset threshold value in the at least one gain value.
Further, referring to fig. 6, the apparatus further includes the following modules: and the positioning module 15 is used for positioning the equipment to be shot based on the target electromagnetic fingerprint to obtain the geographical position of the equipment to be shot.
Further, referring to fig. 6, the apparatus further includes the following modules: and the second determining module 16 is configured to determine that the stolen equipment does not appear in the to-be-detected area if the target electromagnetic fingerprint is not acquired.
Further, referring to fig. 6, the apparatus may further include the following modules: and the moving module 17 is configured to move the detection probe to detect a next region to be detected if all the gain values in the at least one gain value are lower than a preset threshold value.
Further, referring to fig. 7, the obtaining module 11 may include the following units:
the sampling unit 21 is used for sampling background environment electromagnetism in the region to be detected to obtain a sampling result;
and the correcting unit 22 is configured to correct at least one electromagnetic fingerprint in the preset electromagnetic fingerprint model based on the sampling result, so as to obtain a target electromagnetic fingerprint model.
In another embodiment of the present invention, an electronic device is further provided, which includes a memory and a processor, where the memory stores therein a computer program operable on the processor, and the processor executes the computer program to implement the steps of the method of the above method embodiment.
In yet another embodiment of the present invention, a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the method of the method embodiments is also provided.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
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.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A detection method of a stolen camera equipment based on electromagnetic leakage is characterized by comprising the following steps:
acquiring a target electromagnetic fingerprint model, wherein the target electromagnetic fingerprint model is an electromagnetic fingerprint model obtained after sampling background environment electromagnetism in a region to be detected; the target electromagnetic fingerprint model is a preset electromagnetic fingerprint model after correction; if the preset electromagnetic fingerprint model is overdue, updating the preset electromagnetic fingerprint model in an over-the-air OTA mode;
Collecting a target electromagnetic fingerprint at any position in the area to be detected by using a detection probe in detection equipment; the detection apparatus includes: one or several electromagnetic sampling modules, one or several processors for executing analysis algorithm and an output device; the electromagnetic sampling module comprises: the analog super-regenerative circuit, the analog super-heterodyne circuit and the digital software radio circuit; the detection probe is an electromagnetic sampling module and is used for realizing medium-short distance detection of a target electromagnetic fingerprint, and the medium-short distance refers to a distance which takes an antenna of the detection equipment as a circle center and has a radius of 0-10 meters under the condition of no blocking of a bearing wall;
calculating the gain value of each electromagnetic fingerprint in the acquired target electromagnetic fingerprint and the target electromagnetic fingerprint model to obtain at least one gain value;
and determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not based on the at least one gain value.
2. The method for detecting the stolen camera equipment based on the electromagnetic leakage according to claim 1, wherein the step of determining whether the device corresponding to the target electromagnetic fingerprint is the stolen camera equipment based on the at least one gain value comprises the following steps:
And if any gain value in the at least one gain value is higher than or equal to a preset threshold value, determining the equipment corresponding to the target electromagnetic fingerprint as a pirate equipment.
3. The method for detecting the stolen equipment based on the electromagnetic leakage according to claim 2, wherein after the device corresponding to the target electromagnetic fingerprint is determined to be the stolen equipment, the method further comprises the following steps:
and positioning the equipment to be shot in a stealing manner based on the target electromagnetic fingerprint to obtain the geographical position of the equipment to be shot in a stealing manner.
4. The method for detecting the stolen camera equipment based on the electromagnetic leakage according to the claim 1, characterized in that the method further comprises the following steps:
and if the target electromagnetic fingerprint is not acquired, determining that the equipment to be shot is not found in the area to be detected.
5. The method for detecting the stolen camera equipment based on the electromagnetic leakage according to claim 4, characterized in that the method further comprises the following steps:
and if all the gain values in the at least one gain value are lower than a preset threshold value, moving the detection probe to detect the next region to be detected.
6. The method for detecting the stolen camera equipment based on the electromagnetic leakage according to claim 1, wherein the step of obtaining the target electromagnetic fingerprint model comprises the following steps:
Sampling background environment electromagnetism in a region to be detected to obtain a sampling result;
and correcting at least one electromagnetic fingerprint in the preset electromagnetic fingerprint models based on the sampling result to obtain a target electromagnetic fingerprint model.
7. The utility model provides a detection apparatus for equipment of taking a photograph in theft based on electromagnetism leaks which characterized in that includes:
the acquisition module is used for acquiring a target electromagnetic fingerprint model, wherein the target electromagnetic fingerprint model is an electromagnetic fingerprint model obtained after sampling background environment electromagnetism in a region to be detected; the target electromagnetic fingerprint model is a corrected preset electromagnetic fingerprint model; if the preset electromagnetic fingerprint model is overdue, updating the preset electromagnetic fingerprint model in an over-the-air OTA mode;
the acquisition module is used for acquiring a target electromagnetic fingerprint at any position in the area to be detected by using a detection probe in the detection equipment; the detection apparatus includes: one or several electromagnetic sampling modules, one or several processors for executing analysis algorithm and an output device; the electromagnetic sampling module comprises: the analog super-regenerative circuit, the analog super-heterodyne circuit and the digital software radio circuit; the detection probe is an electromagnetic sampling module and is used for realizing medium-short distance detection of a target electromagnetic fingerprint, and the medium-short distance refers to a distance which takes an antenna of the detection equipment as a circle center and has a radius of 0-10 meters under the condition of no blocking of a bearing wall;
The calculation module is used for calculating the gain value of each acquired target electromagnetic fingerprint and each electromagnetic fingerprint in the target electromagnetic fingerprint model to obtain at least one gain value;
and the first determining module is used for determining whether the equipment corresponding to the target electromagnetic fingerprint is a pirate equipment or not based on the at least one gain value.
8. The apparatus for detecting pirate photographing equipment based on electromagnetic leakage according to claim 7, wherein the first determining module comprises:
and the determining unit is used for determining the equipment corresponding to the target electromagnetic fingerprint as a pirate equipment if at least one gain value in the at least one gain value is higher than or equal to a preset threshold value.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 6 when executing the computer program.
10. A computer-readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the method of any of claims 1 to 6.
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Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11367018B2 (en) 2019-12-04 2022-06-21 Oracle International Corporation Autonomous cloud-node scoping framework for big-data machine learning use cases
US11460500B2 (en) 2020-02-07 2022-10-04 Oracle International Corporation Counterfeit device detection using EMI fingerprints
US11255894B2 (en) 2020-02-28 2022-02-22 Oracle International Corporation High sensitivity detection and identification of counterfeit components in utility power systems via EMI frequency kiviat tubes
US11275144B2 (en) 2020-03-17 2022-03-15 Oracle International Corporation Automated calibration of EMI fingerprint scanning instrumentation for utility power system counterfeit detection
US11948051B2 (en) 2020-03-23 2024-04-02 Oracle International Corporation System and method for ensuring that the results of machine learning models can be audited
US11822036B2 (en) 2021-10-07 2023-11-21 Oracle International Corporation Passive spychip detection through time series monitoring of induced magnetic field and electromagnetic interference
US11740122B2 (en) 2021-10-20 2023-08-29 Oracle International Corporation Autonomous discrimination of operation vibration signals
US11729940B2 (en) 2021-11-02 2023-08-15 Oracle International Corporation Unified control of cooling in computers

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110223284A (en) * 2019-06-11 2019-09-10 深圳市启芯众志科技有限公司 A kind of detection method and detection device of the pinhole cameras based on intelligent terminal
WO2019222947A1 (en) * 2018-05-23 2019-11-28 浙江大学 Wireless camera detecting and locating method based on network traffic

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8624605B2 (en) * 2007-02-16 2014-01-07 University Of Maryland, College Park Apparatus and method to distinguish nominally identical objects through wave fingerprints apparatus and method to distinguish nominally identical objects through wave fingerprints
CN105116235A (en) * 2015-09-22 2015-12-02 西华大学 Searching apparatus and method of automatically searching electromagnetic radiation source
CN107273795B (en) * 2017-05-04 2019-12-17 浙江大学 Cross-device electromagnetic fingerprint database construction method and device based on machine learning
US11075776B2 (en) * 2017-06-13 2021-07-27 Honeywell International Inc. Systems and methods for indoor tracking via Wi-Fi fingerprinting and electromagnetic fingerprinting
CN110490154B (en) * 2019-08-23 2020-09-15 集美大学 Multidimensional leakage information detection method, terminal equipment and storage medium

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019222947A1 (en) * 2018-05-23 2019-11-28 浙江大学 Wireless camera detecting and locating method based on network traffic
CN110223284A (en) * 2019-06-11 2019-09-10 深圳市启芯众志科技有限公司 A kind of detection method and detection device of the pinhole cameras based on intelligent terminal

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
《IEEE Transactions on Systems, Man, and Cybernetics: Systems》;Joseph E. Friedel et al.;《Development, Optimization, and Validation of Unintended Radiated Emissions Processing System for Threat Identification》;20181231;全文 *
基于辐射特征的隐藏摄像头检测技术;汪嘉恒等;《工业控制计算机》;20170225(第02期);全文 *

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