Fraud detection device, fraud detection system, fraud detection method, and program

Abstract

To provide a fraud detection device capable of detecting fraud pertaining to an on-board device, even if the on-board device has been modified, electrified, etc.SOLUTION: A fraud detection device, which is used to detect fraud concerning an on-board device installed in a vehicle whose account is registered by a method of linking to GNSS corresponding to information on a license plate, includes: a receiver that receives information obtained by a photographing unit independent of the vehicle photographing the vehicle and includes the license plate information; and a fraud determination unit for determining fraud pertaining to the on-board device based on account information corresponding to same license plate information and the photographed information.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to a fraud detection device, a fraud detection system, a fraud detection method, and a program. [Background technology]

[0002] In recent years, the Global Positioning System (GNSS), which determines the position of a vehicle based on signals received from satellites, has come into widespread use. GNSS is used, for example, for toll processing for vehicles passing through expressways. In toll processing using GNSS, if the signals received from the satellite are spoofed, the toll processing cannot be performed correctly. As a countermeasure against spoofing, for example, Patent Document 1 discloses a technology in which vehicle-to-vehicle communication is performed between on-board devices (on-board units) mounted on two moving vehicles, and signal spoofing is detected based on the results of the vehicle-to-vehicle communication. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6942414 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology described in Patent Document 1 has a problem in that it is difficult to detect fraud related to the vehicle-mounted device when the vehicle-mounted device is tampered with or the power is cut off.

[0005] The present disclosure has been made to solve the above-mentioned problems, and aims to provide a fraud detection device, a fraud detection system, a fraud detection method, and a program that can detect fraud related to an on-board device even if the on-board device has been modified or has been cut off. [Means for solving the problem]

[0006] According to one aspect of the present disclosure, a fraud detection device is a fraud detection device used to detect fraud in an on-board device mounted on a vehicle whose account is registered in a manner linked to GNSS in correspondence with license plate information, the fraud detection device comprising: a receiving unit that receives photographic information including license plate information, the photographic information being acquired by an imaging unit independent of the vehicle photographing the vehicle; and a fraud determination unit that determines fraud related to the on-board device based on the account information corresponding to the same license plate information and the photographic information. A registration department; Equipped with The receiving unit further receives probe information including a positioning position of the vehicle obtained by the on-board device receiving a signal from a satellite of the GNSS, the probe information including a positioning time when the on-board device obtained the positioning position, the registration unit is capable of registering the probe information in the account, the fraud determination unit determines that fraud has been committed regarding the on-board device when a positioning point close to the photographing time of the photographing unit included in the photographing information is not included in the photographing area of ​​the photographing unit, and when a positioning point close to the photographing time of the photographing unit included in the photographing information is included in the photographing area of ​​the photographing unit, the fraud determination unit determines that fraud has been committed regarding the on-board device when a difference between the positioning time of a positioning point within the photographing area of ​​the photographing unit and the photographing time of the photographing unit included in the photographing information is not within a specified time. .

[0007] According to one aspect of the present disclosure, a fraud detection system includes the fraud detection device described above, the vehicle-mounted device, and the imaging unit.

[0008] According to one aspect of the present disclosure, a fraud detection method is a fraud detection method for detecting fraud in an on-board device mounted on a vehicle in which an account is registered in correspondence with license plate information in a manner linked to GNSS, the fraud detection method comprising: receiving probe information including a positioning position of the vehicle acquired by the on-board device receiving signals from the GNSS satellites and a positioning time when the on-board device acquired the positioning position; The method includes the steps of: receiving photographic information including the license plate information, the photographic information being acquired by a photographing unit independent of the vehicle photographing the vehicle; and determining whether there is any fraud related to the vehicle-mounted device based on the photographic information and the account information corresponding to the same license plate information. The step of determining whether or not a tampering has occurred with respect to the vehicle-mounted device includes a step of determining that a tampering has occurred with respect to the vehicle-mounted device when a positioning point close to the photographing time of the photographing unit included in the photographing information is not included in the photographing area of ​​the photographing unit, and a step of determining that a tampering has occurred with respect to the vehicle-mounted device when a positioning point close to the photographing time of the photographing unit included in the photographing information is included in the photographing area of ​​the photographing unit and a difference between the positioning time of the positioning point in the photographing area of ​​the photographing unit and the photographing time of the photographing unit included in the photographing information is not within a specified time. .

[0009] According to one aspect of the present disclosure, a program is provided for operating a fraud detection device used to detect fraud in an on-board device mounted on a vehicle whose account is registered in a manner linked to GNSS in accordance with license plate information, the program comprising: receiving probe information including a positioning position of the vehicle acquired by the on-board device receiving signals from the GNSS satellites and a positioning time when the on-board device acquired the positioning position; The fraud detection device is caused to execute a step of receiving photographic information including information on the license plate, the photographic information being acquired by a photographing unit independent of the vehicle, and a step of determining fraud relating to the vehicle-mounted device based on information on the account corresponding to the same license plate information and the photographic information. The step of determining whether or not a tampering has occurred with respect to the vehicle-mounted device includes a step of determining whether or not a positioning point close to the photographing time of the photographing unit included in the photographing information is included in the photographing area of ​​the photographing unit, when the positioning point close to the photographing time of the photographing unit included in the photographing information is included in the photographing area of ​​the photographing unit, and a step of determining whether or not a tampering has occurred with respect to the vehicle-mounted device, when the positioning point close to the photographing time of the photographing unit included in the photographing information is included in the photographing area of ​​the photographing unit, when the difference between the positioning time of the positioning point in the photographing area of ​​the photographing unit and the photographing time of the photographing unit included in the photographing information is not within a specified time. . [Effects of the Invention]

[0010] According to the fraud detection device, fraud detection system, fraud detection method, and program disclosed herein, fraud related to an on-board device can be detected even if the on-board device has been modified or has been cut off. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram illustrating an overall configuration of a fraud detection system according to an embodiment of the present disclosure. [Figure 2] 1 is a diagram illustrating an overall configuration of a fraud detection system according to an embodiment of the present disclosure and a functional configuration of a fraud detection device. [Figure 3] FIG. 10 is a diagram illustrating an example of an account table according to an embodiment of the present disclosure. [Figure 4] FIG. 10 is a diagram illustrating an example of a table of positioning positions according to an embodiment of the present disclosure. [Figure 5] FIG. 2 is a first flowchart illustrating an example of processing of the fraud detection device according to an embodiment of the present disclosure. [Figure 6] FIG. 20 is a second flowchart illustrating an example of processing of the fraud detection device according to an embodiment of the present disclosure. [Figure 7] FIG. 10 is a third flowchart illustrating an example of processing of the fraud detection device according to an embodiment of the present disclosure. [Figure 8] FIG. 4 is a fourth flowchart illustrating an example of processing of the fraud detection device according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, a fraud detection system 1 and a fraud detection device 20 according to an embodiment of the present disclosure will be described with reference to the drawings. FIG. 1 is a diagram illustrating the overall configuration of a fraud detection system according to an embodiment of the present disclosure. As shown in FIG. 1, the fraud detection system 1 includes an on-board device 10 mounted on a vehicle V, a photographing unit 11 independent of the vehicle V, and a fraud detection device 20 independent of the vehicle V and the photographing unit 11.

[0013] The fraud detection system 1 and the fraud detection device 20 are used to detect fraud committed by a vehicle V, whose account is registered in a manner linked to GNSS in accordance with license plate information, within a specific detection area A1. More precisely, the fraud detection system 1 and the fraud detection device 20 are used to detect fraud committed by an on-board device 10 installed in such a vehicle V. The fraud detection system 1 and the fraud detection device 20 are used in billing systems for toll roads, toll areas, and the like, and are also installed on public roads for daily enforcement (policing). In this embodiment, an example will be described in which the fraud detection system 1 and the fraud detection device 20 are used in billing systems for toll roads, toll areas, and the like. The detection area A1 in this embodiment is a toll road or toll area. An entrance toll gate is provided at the entrance E1 of the detection area A1, and an exit toll gate is provided at the exit E2 of the detection area A1. The account is stored, for example, in an account management system (not shown) separate from the GNSS, and account information is transmitted from the account management system linked to the GNSS to the fraud detection device 20.

[0014] The vehicle-mounted device 10 sequentially acquires probe information including a positioning position for identifying the location of the vehicle V on which the vehicle is mounted by receiving signals from GNSS satellites S. The vehicle-mounted device 10 acquires probe information for each positioning point (t, x, y). For example, when the vehicle V travels from entrance E1 to exit E2 within the detection area A1, the vehicle-mounted device 10 acquires positioning positions (x1, y1), (x2, y2), (x3, y3), and (x4, y4) at positioning times t1, t2, t3, and t4, respectively. The positioning times are t1, t2, t3, and t4 in order of earliest to latest. The positioning position (x, y) is two-dimensional information, corresponding to, for example, the latitude and longitude of the vehicle-mounted device 10. The vehicle-mounted device 10 sequentially transmits the probe information of the vehicle V to the fraud detection device 20 via a communication network such as a mobile phone.

[0015] The photographing unit 11 is a fixed camera installed near the exit E2 of the detection area A1. The photographing unit 11 may be a portable camera or an in-vehicle camera. That is, the photographing unit 11 can be installed anywhere within the detection area A1, but in this embodiment, a case where the photographing unit 11 is installed near the exit F2 will be described as an example. The photographing unit 11 photographs the vehicle V to acquire photographic information including license plate information of the target vehicle V. The license plate information may be acquired as text data by the photographing unit 11, or may be acquired as image data by the photographing unit 11 and converted into text data by an OCR (Optical Character Recognition / Reader) in the fraud detection device 20. Hereinafter, the area where the photographing unit 11 photographs the vehicle V is referred to as the photographing area A2. The photographing area A2 is located near the exit E2 within the detection area A1. The positioning point (t4, x4, y4) in FIG. 1 is an example of a positioning point within the detection area A2.

[0016] The fraud detection device 20 is a so-called center server (computer). The fraud detection device 20 receives probe information acquired by an in-vehicle device 10 mounted on a vehicle V and photographic information acquired by a photographing unit 11, and detects fraud related to the in-vehicle device 10.

[0017] (Functional configuration of fraud detection device) The functional configuration of the fraud detection device 20 will be described with reference to FIG. FIG. 2 is a diagram illustrating the overall configuration of the fraud detection system and the functional configuration of the fraud detection device according to an embodiment of the present disclosure. As shown in FIG. 2, the fraud detection device 20 includes a processor 21, a main memory 22, a storage 23, and a communication interface 24.

[0018] The processor 21 is, for example, a CPU, and executes each process of the fraud detection device 20. The function of the processor 21 will be described later.

[0019] The main memory 22 has a memory area necessary for the operation of the processor 21 .

[0020] The storage 23 is a so-called auxiliary storage device. Examples of storage 23 include a magnetic disk, a magneto-optical disk, a semiconductor memory, etc. Storage 23 may be an internal medium directly connected to the computer bus, or an external medium connected to fraud detection device 20 (computer) via communication interface 24 or a communication line.

[0021] The communication interface 24 is an interface for transmitting and receiving information to and from external devices (the vehicle-mounted device 10 and the photographing unit 11).

[0022] Next, a description will be given of the functions of the processor 21. The processor 21 functions as a receiving unit 210, a registration unit 211, a registration determination unit 212, and an illegality determination unit 213 by operating in accordance with a predetermined program.

[0023] The receiving unit 210 sequentially receives the probe information acquired by the vehicle-mounted device 10. When the probe information is received by the receiving unit 210, it is stored in the storage 23 by the registration unit 211, which will be described later. The probe information includes identification information of the target vehicle V (ID, license plate information, etc.), the positioning date, the positioning time, the positioning position, the average error radius, the speed, and first vehicle information (vehicle model, etc.). The positioning time is the time when the vehicle-mounted device 10 acquires the positioning position. The average error radius is a value that represents the accuracy of the positioning position. The first vehicle information is information related to the appearance, such as the vehicle model. The first vehicle information may be transmitted from the vehicle-mounted device 10 to the receiving unit 210 as probe information, or may be stored in an account in advance.

[0024] The receiving unit 210 also receives the photographing information acquired by the photographing unit 11. When the photographing information is received by the receiving unit 210, it is stored in the storage 23. The photographing information is so-called audit information, including the license plate information of the target vehicle V, the photographing date, the photographing time, the photographing location, second vehicle information (such as vehicle type), etc. The photographing location is the location where the photographing unit 11 photographed the vehicle V. The photographing location is sequentially acquired by the photographing unit 11 receiving signals from the GNSS, similar to the in-vehicle device 10. The photographing location may be input in advance to the photographing unit or the storage. The photographing time is the time when the photographing unit 11 photographed the vehicle V. The second vehicle information is acquired by the photographing unit 11 photographing the target vehicle V. Similar to the first vehicle information, the second vehicle information is information relating to the appearance, such as the vehicle type.

[0025] The registration unit 211 is capable of registering probe information in an account with a corresponding ID among the accounts.

[0026] The registration determination unit 212 determines whether the vehicle V to be photographed has an account registered.

[0027] The fraud determination unit 213 determines fraud related to the vehicle-mounted device 10 based on the account information and the photograph information corresponding to the same license plate information. In this embodiment, when the receiving unit 210 receives the photographing information, if the probe information is not registered in the account, the fraud determination unit 213 determines that fraud has been committed in relation to the vehicle-mounted device 10.

[0028] In addition, the fraud determination unit 213 determines that fraud has been committed involving the vehicle-mounted device 10 if the positioning point close to the shooting time of the shooting unit 11 included in the shooting information is not included in the shooting area A2 of the shooting unit 11.

[0029] In addition, the fraud determination unit 213 determines that fraud has been committed involving the vehicle-mounted device 10 if the difference between the positioning time of the positioning point within the photographing area A2 of the photographing unit 11 and the photographing time of the photographing unit 11 included in the photographing information is not within a specified time. Furthermore, the fraud determination unit 213 determines that fraud relating to the vehicle-mounted device 10 has been committed when the first vehicle information and the second vehicle information do not match.

[0030] The operations of the above-described receiving unit 210, registration unit 211, registration determination unit 212, and fraud determination unit 213 are stored in the form of a program in storage 23. Processor 21 reads the program from storage 23, loads it into main memory 22, and executes the above-described processing in accordance with the program. Furthermore, processor 21 allocates storage areas in main memory 22 corresponding to the above-described receiving unit 210, registration unit 211, registration determination unit 212, and fraud determination unit 213 in accordance with the program.

[0031] The program may be for realizing part of the functions to be performed by a computer. For example, the program may be for performing the functions by combining with other programs already stored in the storage 23 or other programs installed in other devices.

[0032] The program may also be a program for realizing some of the above-described functions. Furthermore, the program may be a so-called differential file (differential program) that realizes the above-described functions in combination with another program already stored in the storage 23.

[0033] Furthermore, when this program is distributed to a computer via a communication line, the computer that receives the program may load the program into the main memory 22 and execute the above processing.

[0034] The fraud detection device 20 described above may include a custom LSI (Large Scale Integrated Circuit) such as a PLD (Programmable Logic Device) in addition to or instead of the above configuration. Examples of PLDs include PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate Array). In this case, some or all of the functions realized by the processor 21 may be realized by the integrated circuit.

[0035] (About the account table) FIG. 3 is a diagram illustrating an example of an account table according to an embodiment of the present disclosure. As shown in Fig. 3, the storage 23 stores an account table for each vehicle V (each vehicle-mounted device 10) whose account is registered using a method linked to GNSS. The account table stores ID, personal information, and probe information. Hereinafter, the ID, personal information, and probe information of each vehicle V (each vehicle-mounted device 10) may be referred to as account information.

[0036] The ID corresponds to each vehicle V and each in-vehicle device 10 that has registered an account in a manner linked to GNSS. FIG. 3 shows a case where the ID is composed of a combination of alphanumeric characters. The personal information includes, for example, a credit card number or account number corresponding to each ID. In FIG. 3, the license plate information, the first vehicle information, the positioning time, and the positioning location are listed among the probe information, and other probe information is omitted.

[0037] (Regarding the positioning table) FIG. 4 is a diagram illustrating an example of a table of positioning positions according to an embodiment of the present disclosure. As shown in Fig. 4, the positioning position is stored as a table for each positioning time. Note that, among the probe information, information that changes depending on the positioning time other than the positioning position (for example, speed, etc.) may be stored as a table for each positioning time as shown in Fig. 4.

[0038] (Processing flow of the fraud detection device) The processing flow of the fraud detection device 20 will be described below with reference to Figures 5 to 8. The processing flow of the fraud detection device 20 is roughly divided into a flow for registering probe information in an account (see Figure 5) and a flow for detecting fraud related to the vehicle-mounted device 10 (see Figures 6 to 8).

[0039] First, the flow for registering probe information in an account will be described. This flow is executed when the vehicle-mounted device 10 transmits probe information acquired within the area detection to the fraud detection device 20. If the vehicle-mounted device 10 has not acquired probe information within the area detection, the flow for registering probe information in an account will not be executed.

[0040] FIG. 5 is a first flowchart illustrating an example of processing of the fraud detection device according to an embodiment of the present disclosure. First, the receiving unit 210 receives probe information from the vehicle-mounted device 10 (step S10). Thereafter, the probe information is transmitted from the receiving unit 210 to the registering unit 211. The registering unit 211 registers the probe information in the account (step S11). Every time the receiving unit 210 receives probe information, the registering unit 211 sequentially registers the probe information in the account. That is, every time the receiving unit 210 receives probe information, the positioning time and the positioning position in the account table are sequentially updated. In this manner, the flow for registering probe information in an account is completed.

[0041] The fraud detection device 20 repeatedly executes the series of processes shown in the flowchart of FIG. 5 every time new probe information is received.

[0042] Next, a description will be given of a flow for detecting fraud relating to the vehicle-mounted device 10. This flow is executed by the photographing unit 11 photographing the target vehicle V within the photographing area A2.

[0043] FIG. 6 is a second flowchart illustrating an example of the process of the fraud detection device 20 according to the embodiment of the present disclosure. First, the receiving unit 210 receives the photographing information (step S20). The received photographing information is stored in the storage 23 for each target vehicle V. Next, the registration determination unit 212 determines whether an account for the photographed vehicle V is registered (step S21). If the account for the photographed vehicle V is not registered (step S21; NO), the photographed vehicle V is processed as not being subject to fraud detection (step S22), and the flow ends.

[0044] Vehicles that are not subject to fraud detection may not be judged as fraudulent, but may be judged to have passed through the detection area A1 based on, for example, the second vehicle information acquired by the photographing unit 11, and charged at a later date. In this case, however, it is assumed that the vehicles that are not subject to fraud detection are registered as non-GNSS vehicles.

[0045] On the other hand, if an account for the vehicle V to be photographed is registered (step S21; YES), the fraud determination unit 213 determines fraud related to the vehicle-mounted device 10 based on the account information corresponding to the same license plate information and the photographing information (step S30). The processing flow of step S30 will be described with reference to the flowchart in FIG.

[0046] FIG. 7 is a third flowchart illustrating an example of processing by the fraud detection device according to the embodiment of the present disclosure. In the process of step S30, first, the fraud determination unit 213 determines whether probe information is registered in the account (step S301). When the on-board device 10 is normal, when the target vehicle V is photographed, probe information near the entrance E1 indicating that the vehicle has already entered the detection area A1 and probe information from near the entrance E1 to near the exit E2, which is travel data before the vehicle V exits the detection area A1, are sequentially registered in the account as a probe group as shown in FIG. 4. Therefore, when the probe information is not registered in the account (step S301; NO), the fraud determination unit 213 determines that fraud involving the on-board device 10 has been committed even before the vehicle V traveled through the detection area A1, and determines that the vehicle V to be photographed is a fraudulent vehicle (step S302). Examples of fraud involving the on-board device 10 include tampering with the on-board device 10 and powering off the on-board device 10 before the vehicle V traveled through the detection area A1. Thereafter, the fraud determination unit 213 ends the process of step S30, returns to the flowchart of FIG. 6, and ends the flow.

[0047] On the other hand, if the probe information is registered in the account (step S301; YES), the fraud determination unit 213 checks the shooting information against the account information to determine fraud (step S310). The processing flow of step S310 will be described with reference to the flowchart in FIG. 8.

[0048] FIG. 8 is a fourth flowchart illustrating an example of processing by the fraud detection device according to the embodiment of the present disclosure. In the process of step S310, first, the fraud determination unit 213 determines whether a positioning point close to the shooting time is included in the shooting area A2 (step S311). If a positioning point close to the shooting time is not included in the shooting area A2 (step S311; NO), the fraud determination unit 213 determines that fraud related to the positioning position of the vehicle-mounted device 10 has occurred near the point where the shooting unit 11 photographs the vehicle V, and determines that the vehicle V to be photographed is a fraudulent vehicle (step S312). Examples of fraud related to this vehicle-mounted device 10 include so-called GNSS spoofing, which involves falsifying a positioning signal received from a GNSS satellite S. Furthermore, this fraud related to the vehicle-mounted device 10 may be due to a driver or a malicious attack by a third party. Thereafter, the fraud determination unit 213 ends the process of step S310 and returns to the flowchart of FIG. 7. Furthermore, the fraud determination unit 213 ends the process of step S30 and returns to the flowchart of FIG. 6, thereby ending the flow.

[0049] On the other hand, if the photographing area A2 includes a positioning point close to the photographing time (step S311; YES), the fraud determination unit 213 determines whether the difference between the positioning time of the positioning point in the photographing area A2 and the photographing time is within a specified time (step S313). If the difference between the positioning time of the positioning point in the photographing area A2 and the photographing time is not within the specified time (step S313; NO), the fraud determination unit 213 determines that fraud related to the positioning time of the on-board device 10 has occurred near the point where the photographing unit 11 photographs the vehicle V, and determines that the photographed vehicle V is a fraudulent vehicle (step S314). Examples of fraud related to the on-board device 10 include GNSS spoofing, tampering with the positioning time, and power outage of the on-board device 10. Thereafter, the fraud determination unit 213 ends the process of step S310 and returns to the flowchart of FIG. 7. Furthermore, the fraud determination unit 213 ends the process of step S30 and returns to the flowchart of FIG. 6, thereby ending the flow.

[0050] On the other hand, if the difference between the positioning time of the positioning point in the photographing area A2 and the photographing position is within a specified time (step S313; YES), the fraud determination unit 213 determines whether the first vehicle information (model, etc.) registered in the account matches the second vehicle information (model, etc.) acquired by the photographing unit 11 (step S315). If the first vehicle information and the second vehicle information do not match (step S315; NO), the fraud determination unit 213 determines that fraud has been committed involving the in-vehicle device 10, and determines that the photographed vehicle V is a fraudulent vehicle (step S316). Examples of fraudulent acts involving the in-vehicle device 10 include tampering with probe information acquired by the in-vehicle device 10 and fraudulent account registration information.

[0051] On the other hand, if the first vehicle information and the second vehicle information match (step S315; YES), the fraud determination unit 213 determines that there is no fraud involving the in-vehicle device 10 and determines that the vehicle V being photographed is a normal vehicle (step S317). Thereafter, the fraud determination unit 213 ends the processing of step S310 and returns to the flowchart of Fig. 7. Furthermore, the fraud determination unit 213 ends the processing of step S30 and returns to the flowchart of Fig. 6, ending the flow. In this manner, the flow for detecting fraud related to the vehicle-mounted device 10 is completed.

[0052] The fraud detection device 20 repeatedly executes the series of processes shown in the flowchart of Fig. 6 each time new photographic information is received. The determination results of the fraud detection device 20 are successively notified to a billing system or the like and are used in the processing of the billing system, etc. For example, when the billing system receives a determination result from the fraud detection device 20 indicating that fraud involving the on-board device 10 of the target vehicle V has been detected within the detection area A1, the billing system issues a warning to the user of the on-board device 10 installed in the target vehicle V, or performs processing such as imposing a fine on the target vehicle V.

[0053] 6 to 8, the process of step S310 may be executed without executing the process of step S301. Furthermore, the order of the processes of steps S311, S313, and S315 in the process of step S310 may be changed as appropriate. Furthermore, the process of step S310 may be composed of some of the processes of steps S311, S313, and S315.

[0054] (Action and effect) As described above, the fraud detection device 20 includes a receiving unit 210 that receives photographic information including license plate information obtained by a photographing unit 11 independent of the vehicle V photographing the vehicle V, and a fraud determination unit 213 that determines fraud related to the vehicle-mounted device 10 based on the account information and photographic information corresponding to the same license plate information.

[0055] In this way, the fraud detection device 20 can determine fraud with respect to the vehicle-mounted device 10 based on the photographed information acquired by the photographing unit 11. Because the photographing unit 11 is independent of the vehicle V, it is not easy for the user of the vehicle-mounted device 10 to commit fraud with the photographed information. Therefore, the fraud detection device 20 can detect fraud with respect to the vehicle-mounted device 10 even if the vehicle-mounted device 10 has been tampered with or has been powered off.

[0056] The fraud detection device 20 further includes a registration unit 211. The receiving unit 210 further receives probe information including the positioning position of the vehicle V acquired by the vehicle-mounted device 10 receiving a signal from a GNSS satellite S, and the registration unit 211 can register the probe information in an account.

[0057] In this way, it is possible to detect fraud involving the vehicle-mounted device 10 based on not only the photographic information but also the probe information. This allows the fraud detection device 20 to detect fraud involving the vehicle-mounted device 10 more accurately than when detecting fraud involving the vehicle-mounted device 10 based only on the photographic information.

[0058] Furthermore, when the receiving unit 210 receives the photographing information, if the probe information is not registered in the account, the fraud determination unit 213 determines that fraud involving the vehicle-mounted device 10 has been committed.

[0059] In this way, the fraud detection device 20 can detect fraud involving the vehicle-mounted device 10 even before the vehicle V enters an area where fraud involving the vehicle-mounted device 10 can be detected. Therefore, the fraud detection device 20 can detect fraud involving the vehicle-mounted device 10 in more detail and accurately.

[0060] In addition, the fraud determination unit 213 determines that fraud has been committed involving the vehicle-mounted device 10 if the positioning point close to the shooting time of the shooting unit 11 included in the shooting information is not included in the shooting area A2 of the shooting unit 11.

[0061] In this way, the fraud detection device 20 can detect that fraud has been committed in relation to the positioning position of the vehicle-mounted device 10 near the point where the photographing unit 11 photographs the vehicle V. Therefore, the fraud detection device 20 can detect fraud in relation to the vehicle-mounted device 10 in more detail and accurately.

[0062] In addition, the probe information includes the positioning time when the vehicle-mounted device 10 acquired the positioning position, and the fraud determination unit 213 determines that fraud has been committed involving the vehicle-mounted device 10 if the difference between the positioning time of the positioning point within the photographing area A2 of the photographing unit 11 and the photographing time of the photographing unit 11 included in the photographing information is not within a specified time.

[0063] In this way, the fraud detection device 20 can detect that fraud related to the positioning time has been committed on the vehicle-mounted device 10 near the point where the photographing unit 11 photographs the vehicle V. Therefore, the fraud detection device 20 can detect fraud related to the vehicle-mounted device 10 in more detail and accurately.

[0064] In addition, first vehicle information of vehicle V is registered in the account, and the photographing information includes second vehicle information of vehicle V obtained by photographing vehicle V with photographing unit 11, and if the first vehicle information and the second vehicle information do not match, fraud determination unit 213 determines that fraud has been committed involving vehicle-mounted device 10.

[0065] In this way, the fraud detection device 20 can detect fraud related to vehicle information of the target vehicle V. Therefore, the fraud detection device 20 can detect fraud related to the vehicle-mounted device 10 in more detail and accurately.

[0066] As described above, the embodiments of the present disclosure have been described, but these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope of the invention and its equivalents as defined in the claims, as well as in the scope and spirit of the invention.

[0067] <Additional Notes> The fraud detection device, fraud detection system, fraud detection method, and program described in the above embodiments can be understood, for example, as follows.

[0068] According to a first aspect of the present disclosure, the fraud detection device (20) is a fraud detection device used to detect fraud in an onboard device (10) installed in a vehicle whose account is registered in a manner linked to GNSS in accordance with license plate information, and includes a receiving unit (210) that receives photographic information including license plate information obtained by an imaging unit (11) independent of the vehicle photographing the vehicle, and a fraud determination unit (213) that determines fraud related to the onboard device based on the account information corresponding to the same license plate information and the photographic information.

[0069] In this way, the fraud detection device can determine fraud involving the on-board device based on the photographic information acquired by the photographing unit. Because the photographing unit is independent of the vehicle in which the on-board device is installed, it is not easy for the user of the on-board device to commit fraud with the photographic information. Therefore, the fraud detection device can detect fraud involving the on-board device even if the on-board device has been tampered with or has been powered down.

[0070] According to a second aspect of the present disclosure, in the fraud detection device (20) according to the first aspect, the fraud detection device further includes a registration unit (211). The receiving unit (210) further receives probe information including a positioning position of the vehicle acquired by the vehicle-mounted device (10) receiving a signal from a satellite of the GNSS, and the registration unit is capable of registering the probe information in the account.

[0071] In this way, it is possible to detect tampering involving an in-vehicle device based on not only the photographic information but also the probe information, which allows the fraud detection device to detect tampering involving an in-vehicle device more accurately than when detecting tampering involving an in-vehicle device based only on the photographic information.

[0072] According to a third aspect of the present disclosure, in the fraud detection device (20) relating to the second aspect, when the receiving unit (210) receives the photographing information, if the probe information is not registered in the account, the fraud determination unit (213) determines that fraud has been committed involving the vehicle-mounted device (10).

[0073] In this way, the fraud detection device can detect fraud involving the on-board device even before the vehicle enters an area where fraud involving the on-board device is detected, thereby enabling the fraud detection device to detect fraud involving the on-board device in more detail and accurately.

[0074] According to a fourth aspect of the present disclosure, in the fraud detection device (20) according to the second or third aspect, the fraud determination unit (213) determines that fraud has been committed in relation to the vehicle-mounted device (10) when a positioning point close to the shooting time of the photographing unit (11) included in the photographing information is not included in the photographing area (A2) of the photographing unit.

[0075] In this way, the fraud detection device can detect fraud involving the positioning location of the on-board device near the point where the photographing unit photographs the vehicle, thereby enabling the fraud detection device to detect fraud involving the on-board device in more detail and accurately.

[0076] According to a fifth aspect of the present disclosure, in a fraud detection device 20 relating to any one of the second to fourth aspects, the probe information includes the positioning time at which the vehicle-mounted device 10 obtained the positioning location, and the fraud determination unit 213 determines that fraud has been committed involving the vehicle-mounted device (10) when the difference between the positioning time of the positioning point within the photographing area (A2) of the photographing unit (11) and the photographing time of the photographing unit included in the photographing information is not within a specified time.

[0077] In this way, the fraud detection device can detect fraud involving the positioning time of the on-board device near the point where the photographing unit photographs the vehicle, thereby enabling the fraud detection device to detect fraud involving the on-board device in more detail and accurately.

[0078] According to a sixth aspect of the present disclosure, in a fraud detection device (20) relating to any one of the first to fifth aspects, first vehicle information of the vehicle is registered in the account, the photographing information includes second vehicle information of the vehicle obtained by the photographing unit (11) photographing the vehicle, and the fraud determination unit (213) determines that fraud has been committed involving the vehicle-mounted device (10) when the first vehicle information and the second vehicle information do not match.

[0079] In this way, the fraud detection device can detect fraudulent acts related to vehicle information of the target vehicle, and therefore can detect fraudulent acts related to the in-vehicle device in more detail and accurately.

[0080] According to a seventh aspect of the present disclosure, a fraud detection system (1) includes a fraud detection device (20) described in any one of the first to sixth aspects, the vehicle-mounted device (10), and the photographing unit (11).

[0081] According to an eighth aspect of the present disclosure, a fraud detection method is a fraud detection method for detecting fraud in an onboard device (10) installed in a vehicle whose account is registered in a manner linked to GNSS in accordance with license plate information, and includes the steps of receiving photographic information including license plate information, which is obtained by an imaging unit (11) independent of the vehicle photographing the vehicle, and determining fraud related to the onboard device based on the account information corresponding to the same license plate information and the photographic information.

[0082] According to a ninth aspect of the present disclosure, the program is a program for operating a fraud detection device (20) used to detect fraud in an onboard unit (10) mounted on a vehicle whose account is registered in a manner linked to GNSS in accordance with license plate information, and causes the fraud detection device to execute the steps of receiving photographic information including license plate information, which is obtained by an imaging unit (11) independent of the vehicle photographing the vehicle, and determining fraud related to the onboard unit based on the account information corresponding to the same license plate information and the photographic information. [Explanation of symbols]

[0083] 1. Fraud detection system 10 Onboard equipment 11 Filming Department 20 Fraud detection device 21 processors 210 Receiving unit 211 Registration Department 212 Registration Judgment Department 213 Fraud Judgment Department 22 Main Memory 23. Storage 24 Communication Interface

Claims

1. A fraud detection device used to detect fraud in an on-board device mounted on a vehicle whose account is registered in a manner linked to GNSS in accordance with license plate information, a receiving unit that receives photographic information including information on the license plate, the photographic information being acquired by an imaging unit independent of the vehicle and photographing the vehicle; a fraud determination unit that determines fraud related to the vehicle-mounted device based on the account information and the photograph information corresponding to the same license plate information; A registration department; Equipped with the receiving unit further receives probe information including a positioning position of the vehicle acquired by the on-board device receiving signals from the GNSS satellites; the probe information includes a positioning time when the vehicle-mounted device acquired the positioning location, the registration unit is capable of registering the probe information in the account; the fraud determination unit determines that fraud has been committed regarding the vehicle-mounted device when a positioning point close to the photographing time of the photographing unit, which is included in the photographing information, is not included in the photographing area of ​​the photographing unit; When a positioning point close to the photographing time of the photographing unit included in the photographing information is included in the photographing area of ​​the photographing unit, the fraud determination unit determines that fraud has been committed related to the in-vehicle device when a difference between the positioning time of the positioning point in the photographing area of ​​the photographing unit and the photographing time of the photographing unit included in the photographing information is not within a specified time. Fraud detection device.

2. When the receiving unit receives the photographing information, if the probe information is not registered in the account, the fraud determination unit determines that fraud has been committed related to the vehicle-mounted device. The fraud detection device according to claim 1 .

3. First vehicle information of the vehicle is registered in the account, the photographing information includes second vehicle information of the vehicle acquired by the photographing unit photographing the vehicle, the fraud determination unit determines that fraud has been committed related to the in-vehicle device when the first vehicle information and the second vehicle information do not match. The fraud detection device according to claim 1 or 2.

4. The fraud detection device according to any one of claims 1 to 3; The vehicle-mounted device; The imaging unit; A fraud detection system comprising:

5. A fraud detection method for detecting fraud in an on-board device mounted on a vehicle in which an account is registered in a manner linked to GNSS in accordance with license plate information, receiving probe information including a positioning position of the vehicle acquired by the on-board device receiving a signal from a satellite of the GNSS and a positioning time when the on-board device acquired the positioning position; receiving photographic information including information on the license plate, the photographic information being acquired by an image capturing unit independent of the vehicle; determining whether or not there has been any fraud related to the vehicle-mounted device based on the account information and the photograph information corresponding to the same license plate information; and The step of determining fraud relating to the vehicle-mounted device includes: determining that tampering has occurred with the vehicle-mounted device when a positioning point close to the photographing time of the photographing unit included in the photographing information is not included in the photographing area of ​​the photographing unit; a step of determining that tampering has been performed on the vehicle-mounted device when a positioning point close to the photographing time of the photographing unit included in the photographing information is included in the photographing area of ​​the photographing unit and a difference between the positioning time of the positioning point in the photographing area of ​​the photographing unit and the photographing time of the photographing unit included in the photographing information is not within a specified time; A fraud detection method comprising:

6. A program for operating a fraud detection device used to detect fraud in an on-board device mounted on a vehicle whose account is registered in a manner linked to GNSS in accordance with license plate information, receiving probe information including a positioning position of the vehicle acquired by the on-board device receiving a signal from a satellite of the GNSS and a positioning time when the on-board device acquired the positioning position; receiving photographic information including information on the license plate, the photographic information being acquired by an image capturing unit independent of the vehicle; determining whether or not there has been any fraud related to the vehicle-mounted device based on the account information and the photograph information corresponding to the same license plate information; causing the fraud detection device to execute the The step of determining fraud relating to the vehicle-mounted device includes: determining that tampering has occurred with the vehicle-mounted device when a positioning point close to the photographing time of the photographing unit included in the photographing information is not included in the photographing area of ​​the photographing unit; a step of determining that tampering has been performed on the vehicle-mounted device when a positioning point close to the photographing time of the photographing unit included in the photographing information is included in the photographing area of ​​the photographing unit and a difference between the positioning time of the positioning point in the photographing area of ​​the photographing unit and the photographing time of the photographing unit included in the photographing information is not within a specified time; A program with.

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