KR102197596B1 - Information sharing System and Method for preventing voice phishing based Blockchain - Google Patents

Abstract

It relates to an information sharing system and method for blocking voice phishing crimes based on a blockchain, and a data management unit that stores and manages suspected crime data on a blockchain network, and the risk of voice phishing occurrence based on artificial intelligence by monitoring the user's call content. An artificial intelligence detection unit that predicts, when the risk of voice phishing occurrence is predicted by the artificial intelligence detection unit, a query request unit that requests at least one preset query to the user to confirm whether or not voice phishing occurs, and a query from the query request unit Voice phishing crime by an information sharing system for blocking voice phishing crime based on a block chain, including an answer to and a detection unit that determines whether voice phishing has occurred based on suspected crime data stored and managed by the data management unit. It is possible to provide an information sharing system and method for blocking voice phishing crimes based on a block chain that can lower the voice phishing crime rate and the incidence rate of victims by blocking the occurrence of voice phishing crimes before a situation occurs.

Description

Information sharing system and method for preventing voice phishing based Blockchain}

The present invention relates to a system and method for sharing information for blocking voice phishing crimes based on a block chain, and more specifically, a block chain-based system that stores the contents of a user's call in a private blockchain and monitors it in real time to determine whether voice phishing has occurred. It relates to an information sharing system and method for blocking voice phishing crimes.

In general, in the public blockchain, anyone can participate in the blockchain network using various computer equipment connected to the Internet (PCs, laptops, smartphones, servers, computer miners, etc.) without authorization from an authoritative organization.

Therefore, since the subject of operation and participation is unclear, the incentive system, a token, is issued and operated. On the other hand, public blockchain has the disadvantage of slow speed because consensus is progressed by many people and must be propagated and synchronized to the entire network.

Among the public blockchains, Bitcoin creates one block every 10 minutes, and Ethereum creates one block every 12 seconds (cf. Casper of Ethereum v2.0). Considering the time shared by Ethereum, it takes about 1 to 2 minutes to check the transaction results sent by Ethereum.

According to the Ethereum report submitted by R3, the current Ethereum TPS (Transaction Per Second) is about 10 tps. Bitcoin is about 7 tps. Therefore, it can be said that it is impossible to apply as it is to financial services that require immediate processing.

Distributed consensus algorithm Proof-of-work (PoW) or Proof-of-Stake (PoS) requires internal currency.In case of proof-of-work, there is a problem that is not environmentally friendly, which uses a lot of computing power, and it is allowed because the block is confirmed after the block is created later. There is a limitation that it is not correct for the financial sector, which must always guarantee reliable data, as a network branch can occur within the required time.

On the other hand, in recent years, as the information technology-based industry develops, the Internet and mobile phones are becoming a daily life. In line with this phenomenon, cyber crimes such as shopping mall fraud and customer information hacking are steadily increasing.

In particular, in the case of new economic crimes such as voice phishing, since it is difficult to take special measures, it is increasing significantly as the years go by, and the method is also becoming more intelligent.

In general, voice phishing is a new term that combines voice, private data, and fishing, and refers to a fraudulent act that illegally steals personal information over the phone and uses it for crime.

There are many financial scams that people pretend to be organizations that people can easily trust, find out social security numbers, credit card numbers, bank account numbers, etc., withdraw cash, or use them for other purposes.

For example, phone finance fraud, a type of voice phishing, uses a landline or mobile phone to impersonate a bank or credit card company to obtain financial information from the recipient, thereby preventing damage such as account transfer, card number exposure, and personal information theft. Occurs.

In addition, by impersonating family relations and the victim's or child's mobile phone number and pretending to be kidnapped, it may cause mental damage and financial fraud such as bank transfer, and induce personal information leakage to recipients by impersonating the National Tax Service, the National Intelligence Service, or an investigative agency. This can lead to identity theft or financial damage.

However, there is still a lack of systemic solutions or technologies capable of discriminating and responding to voice phishing, which is becoming increasingly serious.

KR 10-1295442 B1 KR 10-1059558 B1 KR 10-1153968 B1 KR 10-2006-0111172 A

The present invention is derived from such a technical background, and blocks the occurrence of voice phishing crime before the occurrence of the voice phishing crime situation, thereby reducing the voice phishing crime rate and the incidence of victims. Its purpose is to provide an information sharing system and method.

In addition, to identify whether voice phishing has occurred, the personal data of the user, which is stored, is stored in the Bright Blockchain to increase the security of the data, and to block voice phishing crimes that can monitor the occurrence of voice phishing crimes regardless of country. Its purpose is to provide an information sharing system and method.

The present invention for achieving the above object includes the following configuration.

That is, the information sharing system for blocking voice phishing crimes based on a block chain according to an embodiment of the present invention is a data management unit that stores and manages suspected crime data on a blockchain network, and a voice based on artificial intelligence by monitoring the contents of a user's call. An artificial intelligence detection unit that predicts the risk of phishing occurrence, a query request unit that requests at least one preset query to confirm whether or not voice phishing occurs to the user when the risk of voice phishing is predicted by the artificial intelligence detection unit, and the query It includes a response to the query from the requesting unit and a detection unit for determining whether voice phishing has occurred based on the crime suspected data stored and managed by the data management unit.

On the other hand, the information sharing method performed in an information sharing system for blocking voice phishing crimes based on a block chain, including a data management unit, an artificial intelligence detection unit, a query request unit, and a detection unit Storing and managing crime suspicious data on, the artificial intelligence detection unit monitoring the user’s call content to predict the risk of voice phishing based on artificial intelligence, and when the inquiry request unit predicts the risk of voice phishing occurrence by the artificial intelligence detection unit The step of requesting at least one inquiries set in advance to confirm whether or not voice phishing has occurred to the user, and the occurrence determination unit answers to the inquiries from the query requesting unit, and based on suspected crime data stored and managed by the data management unit And determining whether voice phishing has occurred.

According to the present invention, it is possible to provide an information sharing system and method for blocking voice phishing crime based on a block chain that can reduce the voice phishing crime rate and the incidence of victims by blocking the occurrence of a voice phishing crime before a voice phishing crime situation occurs. The effect of being able is derived.

In addition, to identify whether voice phishing has occurred, the personal data of the user, which is stored, is stored in the Bright Blockchain to increase the security of the data, and to block voice phishing crimes that can monitor the occurrence of voice phishing crimes regardless of country. An information sharing system and method can be provided.

1 is a block diagram showing the configuration of an information sharing system according to an embodiment of the present invention;
2 is a flowchart illustrating an information sharing method according to an embodiment of the present invention.

It should be noted that the technical terms used in the present invention are only used to describe specific embodiments, and are not intended to limit the present invention. In addition, the technical terms used in the present invention should be interpreted as generally understood by those of ordinary skill in the technical field to which the present invention belongs, unless otherwise defined in the present invention, and is excessively comprehensive. It should not be construed as a human meaning or an excessively reduced meaning.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing the configuration of an information sharing system according to an embodiment of the present invention.

The information sharing system 10 according to an embodiment includes a plurality of user terminals 20-1, 20-2, 20-3...), a blockchain network 30, a financial institution server 40, and an investigation agency server ( 50) and communicate.

Among the blockchain networks 30, information on suspected voice phishing crimes is stored in a public blockchain. Information on suspected crimes can be stored by country and region. At this time, information management of each country is stored and managed in the consortium blockchain.

In addition, the financial institution server 40 communicates with institutions that can perform financial payments, such as each bank, nonghyup, and credit card company, and when a voice phishing concern is detected in the information sharing system 10 according to an embodiment, the user It is implemented to suspend financial transactions such as an account or card in the name for a predetermined time.

In addition, through the investigation agency server 50, voice phishing crime-related data is shared with investigative agencies such as the police station or the prosecution. For example, information such as cannon passbook information, account information, caller ID information, and voice data can be shared.

The information sharing system 10 according to an embodiment performs a function of identifying location information, and tracks the location of the recipient user terminals 20-1, 20-2, 20-3... I can.

For example, the information sharing system 10 may generate a recorded file by automatically recording the contents of a call through a call formed in the user terminals 20-1, 20-2, 20-3.. In addition, when the call connection is terminated, if a specific word or sentence that is concerned about voice phishing is not detected as a result of monitoring the call content, and it is determined that it is not voice phishing, the call recording file can be automatically deleted or saved in a private blockchain.

In addition, the information sharing system 10 may automatically store the content of the call in the form of voice data when a specific word or sentence is detected during a call through an artificial intelligence voice recognition function.

At this time, the stored call recording files or data can be used as big data to identify potential criminals.

In the information sharing system 10 according to an embodiment, the artificial intelligence (AI) module may recognize a potential voice phishing criminal as a risk group when a specific word or sentence is used. Then, the risk notification is notified to the user who is the callee.

When the user responds to the artificial intelligence (AI) notification at least once or more, the information sharing system 10 transmits the user's location or risk factor information to an investigation agency such as a police station or prosecution. However, it is not limited thereto, and transmission to an approved private security company is also possible.

At this time, the user's response to artificial intelligence (AI) notifications may be performed through a messenger method such as SMS text message, notification, and Kakao Talk, but is not limited thereto and may be performed in various ways. In addition, responding to the notification may be implemented by including all technical configurations capable of inputting information such as user terminals 20-1, 20-2, 20-3..., that is, a touch button of a smart device.

Then, the voice of the caller, the potential criminal, is compared and analyzed with big data using the call recording file. In addition, when the risk of voice phishing occurrence exceeds a certain standard, a request for dispatch is transmitted to an investigation agency such as a police station close to the user's location. However, it is also possible to transmit dispatch requests to private institutions such as security companies set up by users as well as public investigation agencies such as police stations.

In addition, when the artificial intelligence module of the information sharing system 10 recognizes that the risk of voice phishing occurrence is above a predetermined standard and is in an emergency, it requests the financial institution server to restrict withdrawal of the user's account or card. In addition, after a certain period of time, withdrawal restrictions may be automatically released.

At this time, according to the user's consent and settings, a notification of the occurrence of an emergency situation may be further transmitted to others such as the user's family or relatives.

While a series of functions are performed when voice phishing is detected and the occurrence is determined, the artificial intelligence module communicates with the financial institution server 40 and the investigation agency server 50 in real time, thereby reducing the risk factor of the user's voice phishing.

For example, the information sharing system 10 may query the history of issuance and establishment of a cannon bankbook, card, phone, etc. associated with the user, and obtain information from a branch where the issuance and establishment are performed. That is, based on the acquired information, voice phishing criminals can be traced back and arrested through criminal information and location tracking.

In addition, in one embodiment, the recording file of the user's call is recorded through a private blockchain. In addition, personal data is contained in a blockchain-based safe wallet, so it cannot be viewed or shared except by the person or an institution authorized by the consortium.

That is, even if personal information and private contents are recorded and stored, only the user can read it, so the security of the information can be guaranteed. Accordingly, there is an effect of preventing the risk of hacking than in a general case stored in a user terminal such as a general mobile phone or a service server.

In addition, only authorized organizations have access to the information and are stored in the consortium blockchain so that they cannot be viewed without user consent.

Internal transactions of one bank are easy, but in the case of remittance to another bank, an agreement between banks is required. Furthermore, crossing the border makes the process more complex, and in countries where related agreements have not been signed, the process becomes more complex.

However, in the case of blockchain-based remittance, if a single ledger is shared and managed by multiple financial institutions that have signed an agreement, it can be shared with all financial institutions in real time by simply adding a block with the remittance history recorded in the shared ledger. .

Among the private blockchains, the case where the financial institutions that have signed an agreement to share the transaction book and formed a consortium become the co-management subjects of the blockchain, that is, the case where the administration subjects are distributed in large numbers, is called the consortium blockchain among private blockchains.

That is, data such as phone numbers and voice files necessary to determine whether or not voice phishing is necessary can be built into big data for each country and shared with the world. In this case, it is natural that the consent of the data provider must precede.

Accordingly, it is possible to share dangerous crime information not only domestically but also overseas in real time, and effectively prevent the occurrence of voice phishing crime.

As shown in FIG. 1, the information sharing system 10 according to an embodiment includes a communication unit 110, a data management unit 120, an artificial intelligence detection unit 130, a query request unit 140, an occurrence detection unit 150, It includes a dispatch request unit 160 and a transaction suspension request unit 170.

In one embodiment, the information sharing system 10 determines whether or not voice phishing is sent to the user terminal 1 (20-1), the user terminal (20-2), and the user terminal (20-3). do.

User terminal 1 (20-1), user terminal (20-2), user terminal (20-3).. is a smart phone, portable terminal, mobile terminal, folder, respectively. Foldable Terminal, Personal Digital Assistant (PDA), Portable Multimedia Player (PMP) Terminal, Telematics Terminal, Navigation Terminal, Personal Computer, Notebook Computer, Slate PC (Slate PC), Tablet PC, Ultrabook, Wearable Device, e.g., Smartwatch, Smart Glass, Head Mounted Display (HMD), etc. Including), Wibro terminal, IPTV (Internet Protocol Television) terminal, smart TV, digital broadcasting terminal, AVN (Audio Video Navigation) terminal, A/V (Audio/Video) system, Flexible Terminal, digital It can be applied to various terminals such as signage devices.

An example of the user terminal 20 is a terminal capable of installing applications, 3G, 4G, 5G terminals, smart pads, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC ( Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), It may include all types of wireless communication devices that guarantee portability and mobility, such as Wibro (Wireless Broadband Internet).

The communication unit 110 communicates with an internal element or at least one external terminal through a wired/wireless communication network.

At this time, any external terminal is user terminal 1, user terminal 2, user terminal 3.. (20-1, 20-2, 20-3...), blockchain network 30, financial institution server 40 ) And the investigation agency server 50.

Here, as the wireless Internet technology, wireless LAN (WLAN), DLNA (Digital Living Network Alliance), Wibro (Wireless Broadband: Wibro), Wimax (World Interoperability for Microwave Access: Wimax), HSDPA (High Speed Downlink Packet Access) ), High Speed Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), Wireless Mobile Broadband Service (WMBS), etc. In addition, the communication unit 110 transmits and receives data according to at least one wireless Internet technology in a range including Internet technologies not listed above.

In addition, short-range communication technologies include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and Near Field Communication (NFC). , Ultra Sound Communication (USC), Visible Light Communication (VLC), Wi-Fi, Wi-Fi Direct, and the like may be included. In addition, wired communication technologies may include power line communication (PLC), USB communication, Ethernet, serial communication, optical/coaxial cable, and the like.

In one embodiment, the communication unit 110 communicates with the service interface layer for performing communication with the user terminals 20-1, 20-2, 20-3... and the blockchain 40 network. Includes blockchain interface layer for

It also includes an interface layer that communicates with the financial institution server 40 and the investigation institution server 50.

The data management unit 120 stores and manages suspected crime data on a blockchain network. In one embodiment, the data management unit 120 includes a call recording file with the voice of a voice phishing criminal and a word or sentence that may suspect a voice phishing crime in the suspected crime data, and in the form of a block of the blockchain network 30 Save it.

In one embodiment, personal data such as call recording files may be stored in the cloud, server, etc., or stored in a secure wallet on a private blockchain network, and view and share except for the person or organizations authorized to access the data. Is implemented to be impossible.

The data management unit 120 according to an embodiment uses a private blockchain technique to wrap the data itself in a blockchain wallet to transmit, share, and view data, but only the key value generated at the beginning of the wallet creation can be used, and the key value is If it is forgotten, it is implemented so that the data cannot be read.

At this time, a hint related to the key value generated when the private blockchain wallet is created is stored, and the hint is used to find the key value using this. In addition, it can be formed with a double security structure that forms a new type of blockchain wallet outside the data wallet.

The artificial intelligence detection unit 130 is implemented as an artificial intelligence module, and voice phishing based on artificial intelligence by monitoring the contents of a user's call received to the user terminal (20-1, 20-2, 20-3...) Predict the risk of occurrence.

At this time, the artificial intelligence detection unit 130 predicts the risk of voice phishing, when a word or sentence of concern about occurrence of a voice phishing crime is detected, or a calling number or caller's voice with a history of voice phishing crime is detected. It can be implemented to detect the risk of occurrence.

In one aspect, when the artificial intelligence detection unit 130 detects a word or sentence set to predict the risk of voice phishing occurrence, the data management unit 120 stores the call details of the user in the form of voice data on the blockchain network. Do it.

That is, when the risk of occurrence of a voice phishing crime is detected by the artificial intelligence detection unit 130, the recorded file recording the corresponding call is stored in a block form on the blockchain network 30 in the form of voice data.

At this time, as described above, the recorded file in the form of voice data recording the user's call content is stored on the private blockchain network.

In addition, during a series of processes, the artificial intelligence detection unit 130 may collect the crime suspicious data, convert it into graphs, probability, and statistics, and restore the key value by providing a minimum hint for users and organizations who forget the key value. .

In one embodiment, the blockchain network 30 may be implemented to store and manage suspected crime data in a double security form forming a new blockchain wallet outside the data wallet.

When the risk of voice phishing is predicted by the artificial intelligence detection unit 130, the query requesting unit 140 requests at least one preset query from the user to confirm whether or not voice phishing has occurred.

For example, a variety of inquiries are asked to confirm whether a voice phishing crime has occurred, such as whether it is a caller with whom he is acquainted, or whether a request for input of personal or account information is received, and a response is requested.

Occurrence detection unit 150 determines whether or not voice phishing has occurred based on the answer to the query from the query request unit 140 and the crime suspicious data stored and managed on the blockchain network 30 by the data management unit 120. To grasp.

Occurrence detection unit 150 can determine the occurrence of a voice phishing crime based on the answer to the query from the query request unit 140 when the risk of occurrence of a voice phishing crime situation is higher than the standard. Voice phishing crime occurrence can be identified when the caller's voice registered as a voice phishing criminal is matched or a call connection is attempted from the caller's number registered as a voice phishing criminal.

In one aspect of the present invention, the dispatch request unit 160 shares voice phishing crime-related data with investigative agencies such as a police station or prosecution through the investigation agency server 50. For example, information such as cannon passbook information, account information, caller ID information, and voice data can be shared.

In addition, the information sharing system 10 according to an embodiment performs a function of identifying the location information of the user terminals 20-1, 20-2, 20-3..., and the user terminal 20-1 as a recipient , 20-2, 20-3...) and the location of the calling party's terminal can be tracked.

The dispatch request unit 160 may request a dispatch to an investigation agency located at the shortest distance from the user's location to the investigation agency server 50 to request a dispatch according to the occurrence of voice phishing. However, the present invention is not limited thereto, and the location of the caller terminal may be identified, and a call to an investigation agency located at the shortest distance from the caller terminal may be requested according to the occurrence of voice phishing.

At this time, it is possible to request dispatch to an investigative agency that can reach the location of the user terminal or the sender terminal within the shortest time by reflecting not only the shortest distance, but also the traffic situation or the dispatch situation of the investigating agency.

In another aspect of the present invention, when the transaction stop request unit 170 determines that a voice phishing crime has occurred in the occurrence or not detecting unit 150, the financial institution server 40 performs a transaction of the account in the user's name for a predetermined time. Send a stop request.

The financial institution server 40 communicates with institutions that can perform financial payments, such as each bank, nonghyup, and credit card company, and when a voice phishing concern is detected in the information sharing system 10 according to an embodiment, the transaction is stopped. In response to a request from the request unit 170, a financial transaction such as an account or card in the user's name is suspended for a predetermined time. In addition, it may be implemented to automatically release the transaction suspension when a predetermined time elapses according to the setting.

In the information sharing system 10 according to an embodiment, a user's voice phishing risk factor while the artificial intelligence module communicates in real time with the server of a financial institution and a server of an investigative agency while a series of functions are performed when voice phishing is detected and determined Block and reduce damage.

2 is a flowchart illustrating an information sharing method according to an embodiment of the present invention.

The information sharing method performed in an information sharing system for blocking voice phishing crimes based on a block chain, including a data management unit, an artificial intelligence detection unit, a query request unit, and a detection unit Suspicious data is stored and managed (S200).

In one aspect, in the step of storing and managing data, the user's call content is stored as a recording file in the form of voice data on a private blockchain network.

In one embodiment, the data management unit includes a call recording file with the voice of a voice phishing criminal and a word or phrase that may suspect a voice phishing crime in the suspected crime data and stores it in the form of a block of a blockchain network.

Personal data such as call recording files can be stored in the cloud or server, or stored in a safe wallet on a private blockchain network, and is implemented so that it cannot be viewed or shared except by the person or authorized institution.

In addition, when the user terminal is connected to the incoming call in response to the incoming call (S210), the artificial intelligence sensing unit monitors the user's call content and predicts the risk of voice phishing occurrence based on the artificial intelligence (S220).

It includes the data management unit storing the call details of the user in the form of voice data on the blockchain network.

In the information sharing method according to an embodiment, the data management unit may generate a recorded file by automatically recording the contents of a call through a call made in the user terminal. In addition, when the call connection is terminated, if a specific word or sentence that is concerned about voice phishing is not detected as a result of the call content monitoring and it is determined that it is not voice phishing, the call recording file can be automatically deleted or saved in a private blockchain.

When the risk of voice phishing occurrence is predicted by the artificial intelligence detection unit (S230), at least one preset questionnaire is provided to the user to confirm whether or not voice phishing has occurred, and a response is requested (S240).

For example, a variety of inquiries are asked to confirm whether a voice phishing crime has occurred, such as whether it is a caller with whom he is acquainted, or whether a request for input of personal or account information is received, and a response is requested.

Thereafter, the occurrence determination unit determines whether voice phishing has occurred based on the response to the query from the query request unit and the suspected crime data stored and managed by the data management unit (S260).

The occurrence detection unit may determine the occurrence of a voice phishing crime based on an answer to an inquiries from the inquiry request unit when the concern about occurrence of a voice phishing crime situation is higher than the standard.

In addition, when the voice of the caller registered as a voice phishing criminal on the blockchain network matches or attempts to connect a call from the caller number registered as a voice phishing criminal, the occurrence of a voice phishing crime can be identified.

According to an additional aspect of the present invention, when it is determined that a voice phishing crime has occurred, the dispatch request unit requests a dispatch to the investigation agency server to request a dispatch according to the occurrence of the voice phishing to the investigation agency located at the shortest distance from the user's location (S270).

The dispatch request unit 160 is dispatched to the investigation agency server 50 to request dispatch according to the occurrence of voice phishing to an investigative agency such as a police station located at the shortest distance from a user's location, or a private security company that has undergone a predetermined authentication process. Can be requested.

However, the present invention is not limited thereto, and the location of the caller terminal may be identified, and a call to an investigation agency located at the shortest distance from the caller terminal may be requested according to the occurrence of voice phishing.

At this time, it is possible to request dispatch to an investigative agency that can reach the location of the user terminal or the sender terminal within the shortest time by reflecting not only the shortest distance, but also the traffic situation or the dispatch situation of the investigating agency.

And according to another aspect of the present invention, when it is determined whether voice phishing has occurred in the step of determining whether the transaction stop request unit has occurred, a request to stop the transaction of the account in the user's name is transmitted to the financial institution server for a predetermined time (S280).

The financial institution server communicates with institutions that can perform financial payments, such as each bank, nonghyup, and credit card company, and when a voice phishing concern is detected in the information sharing method according to an embodiment, according to a request from the transaction suspension request unit. It is implemented to suspend financial transactions such as an account or card in the user's name for a predetermined time.

In addition, it may be implemented to automatically release the transaction suspension when a predetermined time elapses according to the setting.

That is, in the information sharing method according to an embodiment, the artificial intelligence module communicates with the server of the financial institution and the server of the investigative agency in real time while a series of functions that are performed when voice phishing detection and occurrence determination are performed are performed to reduce the risk factor of the user's voice phishing. Block in advance and reduce the damage of voice phishing crime.

The above-described method may be implemented as an application or in the form of program instructions that may be executed through various computer components and recorded in a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.

The program instructions recorded in the computer-readable recording medium may be specially designed and constructed for the present invention, and may be known and usable to those skilled in the computer software field.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magnetic-optical media such as floptical disks. media), and a hardware device specially configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform processing according to the present invention, and vice versa.

Although the above has been described with reference to embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention described in the following claims. I will be able to.

10: information sharing system 30: blockchain network
40: financial institution server 50: investigation institution server
110: communication unit 120: data management unit
130: artificial intelligence detection unit 140: query request unit
150: detection unit 160: dispatch request unit
170: transaction suspension request unit

Claims (10)

A data management unit for storing and managing suspected crime data on a blockchain network;
An artificial intelligence detector that monitors the user's call content and predicts the risk of voice phishing based on artificial intelligence;
When the risk of voice phishing is predicted by the artificial intelligence detection unit, a query requesting unit for requesting at least one preset query to a user to check whether voice phishing has occurred; And
Blockchain-based voice phishing crime blocking, including, a block chain-based voice phishing crime detection unit that determines whether voice phishing has occurred based on the answer to the query from the query request unit and the crime suspicious data stored and managed by the data management unit. Information sharing system.
The method of claim 1,
The artificial intelligence detection unit,
When a word or sentence set to predict the risk of voice phishing is detected, the data management unit stores the user's call details in the form of voice data on the blockchain network, sharing information for blocking voice phishing crimes based on blockchain. system.
The method of claim 2,
The data management unit,
An information sharing system for blocking voice phishing crimes based on a block chain that stores the user's call content as a recording file in the form of voice data on a private blockchain network.
The method of claim 1,
An information sharing system for blocking voice phishing crimes based on a block chain, further comprising; a dispatch request unit for requesting dispatch to request dispatch according to the occurrence of voice phishing from the investigative agency server to the investigative agency located at the shortest distance from the user's location.
The method of claim 1,
When the occurrence of voice phishing is determined by the occurrence detection unit, a transaction stop request unit for transmitting a request to stop the transaction of the account in the user's name for a predetermined period of time to the financial institution server; further comprising, block chain-based voice phishing crime Information sharing system for blocking.
In the information sharing method performed in an information sharing system for blocking voice phishing crimes based on a block chain, including a data management unit, an artificial intelligence detection unit, a query request unit, and a detection unit,
Storing and managing suspected crime data on a blockchain network by a data management unit;
Predicting a risk of voice phishing occurrence based on artificial intelligence by monitoring the contents of a user's call by an artificial intelligence detection unit;
Requesting at least one preset query to a user to confirm whether or not voice phishing has occurred when the risk of voice phishing is predicted by the artificial intelligence detection unit; And
Block chain-based voice phishing crime blocking, including; To share information for you.
The method of claim 6,
Predicting the risk of occurrence,
When a word or sentence set to predict the risk of voice phishing is detected, the data management unit stores the user's call details in the form of voice data on the blockchain network, sharing information for blocking voice phishing crimes based on blockchain. Way.
The method of claim 7,
The step of storing and managing the data,
An information sharing method for blocking voice phishing crimes based on a block chain that stores the user's call content as a recording file in the form of voice data on a private blockchain network.
The method of claim 6,
Requesting the dispatch request unit to request dispatch according to the occurrence of voice phishing to the investigation agency located at the shortest distance from the user's location to the investigation agency server; further comprising, information sharing method for blocking voice phishing crime based on blockchain.
The method of claim 6,
In the step of determining whether the transaction stop request unit has occurred, if it is determined whether voice phishing has occurred, transmitting a request to stop the transaction of the account in the user's name for a predetermined time to the financial institution server; further comprising, blockchain-based How to share information to block voice phishing crimes.

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