Crime preventive ai plug-in

Abstract

To cope with big social problems of phone frauds (impersonation scams, payment transfer scams, etc.,) that amount 17,570 cases in Japan in 2022 and cause the damage of about 37 billion yen while existing crime preventive apparatuses that record voices or play warning messages lack conclusive effects, landline phone frauds targeting the aged being considered especially problematic.SOLUTION: A "crime preventive AI plug-in" is a system by which a speech on a landline phone is transcribed by VoIP and analyzed by generative AI. The system determines the probability of fraud to be "extremely high", "high", "low" and "no" and in a case of high possibility fraud, a user or a related organization is notified of it. A speech content is automatically deleted for privacy protection, and anonymous utilization is also possible. The system is also applicable to mail or mobile phone calls and is expected as new means for phone fraud prevention.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to the following technical fields: 1. Communications Technology: The business model involves landline, email, and mobile telephone calls and includes technology to utilize these communications technologies to detect and notify specialized fraud.

[0002] 2. Voice processing technology: The process of converting the audio of a landline call into text using VoIP and sending it to the generation AI is part of the voice processing technology.

[0003] 3. Text generation AI technology: The business model includes the use of text generation AI to evaluate call content and messages to determine the probability of fraud. This field is related to natural language processing (NLP) and machine learning technologies.

[0004] 4. Plug-in Technology: The business model provides technology to integrate AI plug-ins into communication systems, which requires knowledge of software development and communication infrastructure.

[0005] 5. Database and information retrieval technology: Database management and information retrieval technology are important in the area of ​​searching for information such as phone numbers and email addresses and collecting evaluation materials. These technical fields are essential elements for the realization of this invention. [Background technology]

[0006] The background technology of this invention is as follows: 1. Communication Technology: In the fight against fraud, various communication methods are used, such as landline, email, and mobile. Understanding and integrating these communication technologies is part of the background technology.

[0007] 2. Voice processing technology: The technology of converting landline voice to text using VoIP is an important element of voice processing, including voice-to-text conversion technology and voice quality improvement.

[0008] 3. Natural Language Processing (NLP) Technology: Natural language processing technology is used by generative AI to understand the content of calls and messages and evaluate the probability of fraud. NLP consists of elements such as text generation, summarization, and semantic analysis.

[0009] 4. Database and information collection technology: Database management technology is required to collect telephone numbers and email addresses, search for information on the Internet, and use it for evaluation. Collecting, organizing, and analyzing information is essential to detecting fraud.

[0010] 5. Plug-in and software development technology: Software development technology is essential to integrate generative AI plug-ins into the communication system and design and implement the data transfer and notification process. It also includes technology to ensure the safety and efficiency of the plug-in.

[0011] 6. Communication security technology: Secure transmission and storage of data, especially via plugins, is required. Communication security technology is an important part of the background technology. These background technologies are essential for realizing the business model and implementing effective measures against specialized fraud. Summary of the Invention

[0012] The present invention relates to technology for providing effective countermeasures against special frauds (telephone frauds such as "it's me" fraud, deposit and savings fraud, fictitious charge billing fraud, refund fraud, loan guarantee fraud, and cash card fraud, as well as email frauds such as phishing emails, fictitious billing emails, and dating-related emails).

[0013] In particular, the present invention provides an innovative method and system for detecting specialized fraud and notifying users by combining elements of communication technology, voice processing technology, natural language processing technology, database technology, plug-in technology, communication security technology, and the like. Functions and Features

[0014] The main functions and features of the present invention are as follows: 1. Conversion of voice to text: This invention uses technology to convert the voice of landline phone calls to text using VoIP, which allows the contents of the calls to be treated as text data and analyzed.

[0015] 2. Evaluation using natural language processing (NLP): Using generative AI, the content of the call and the message are evaluated using NLP technology to determine the possibility of a specialized fraud. The probability of fraud is determined by combining the content of the call and the information of the incoming phone number.

[0016] 3. Notification function: If the generation AI detects a high probability of specialized fraud, the plug-in will notify the user. The notification recipients can include the user, their family, relatives, local governments, related organizations, police, etc., and the notification method can be customized.

[0017] 4. Privacy protection: The present invention allows anonymous registration, minimizing the risk of personal information leaks. Call content is deleted after a certain period of time, protecting privacy.

[0018] 5. Wide range of communication support: Supports landline, email, and mobile calls, and detects special fraud through various communication methods. Crime prevention power

[0019] It is expected that widespread use of this invention will increase the likelihood of arrests and prosecutions for specialized fraud, and that the plug-in itself will function as a crime deterrent.

[0020] The above is an overview of the present invention, which is an innovative technology and system that provides a new approach to combating special fraud.

[0021] Special fraud (I'm your son fraud, deposit fraud, fictitious fee billing fraud, Refund fraud, loan guarantee fraud, telephone fraud such as cash card fraud, phishing emails, false billing emails, dating emails, and other email scams are major social issues and cause serious damage to individuals and society as a whole. These fraudulent acts cause the following problems:

[0022] 1. Economic damage: Special frauds cause victims to suffer huge financial losses. According to statistics from 2022, notification fraud alone has caused a total of more than 37,081,355,000 yen in damages nationwide, which is a serious economic problem.

[0023] 2. Social anxiety: Specialized fraud is particularly common among the elderly, which can cause serious social anxiety among victims and their families. The elderly are particularly easy targets, and a reliable fraud prevention strategy is needed.

[0024] 3. Burden on law enforcement agencies: In response to the increase in specialized frauds, police and other law enforcement agencies are being forced to carry out a huge number of investigations and responses, placing an increasing burden on them.

[0025] 4. Limitations of existing countermeasures: Existing countermeasures against special fraud are ineffective and have not been conclusive in detecting and preventing fraudulent activities.

[0026] The present invention aims to provide effective countermeasures against specialized fraud, reduce economic damage, ease social anxiety, ease the burden on law enforcement agencies, and overcome the limitations of existing countermeasures. In particular, the invention aims to contribute to society by improving fraud detection and prevention through a new approach that combines communication technology and AI technology.

[0027] The main means for solving the problem that this invention aims to solve are as follows: 1. Voice to text conversion: By converting the voice of landline calls into text using VoIP, the contents of the calls can be converted into machine-readable data for analysis. This makes it easier to analyze the characteristics of fraud.

[0028] 2. Leverage Natural Language Processing (NLP) Technology: Generative AI is used to analyze the text of calls and messages using NLP technology. NLP helps understand the meaning and context of sentences and detect fraudulent indicators and illegal elements.

[0029] 3. Comprehensive evaluation of call content and phone number: In order to determine whether it is a special fraud, not only the call content but also the incoming phone number and email address are used as evaluation materials. In the case of withheld or unknown numbers, we also search for information on the Internet to supplement our judgment.

[0030] 4. Notification function: If the generation AI detects a high probability of a specialized fraud, this plugin will notify users and related organizations. This will prevent damage from occurring and provide an early warning to victims and their families.

[0031] 5. Consideration of privacy protection: Respecting user privacy and allowing anonymous registration minimizes the risk of personal information leaks. In addition, deleting call content after a certain period of time contributes to privacy protection.

[0032] 6. Wide range of communication support: Support for a variety of communication methods, including landlines, emails, and mobile calls, expands the range of detection of specialized fraud.

[0033] 7. Reduction of financial burden: The fees for using the system will be set appropriately so that users can take measures against special frauds without incurring high financial burdens.

[0034] 8. Improved crime prevention: The widespread use of this system will increase the likelihood of arrests and prosecutions for specialized fraud, reduce fraudulent acts themselves, and improve crime prevention in society.

[0035] The main purpose of this invention is to combine these means to provide an effective measure against special fraud and to contribute to society.

[0036] The main advantages of this invention are: 1. Strengthening measures against specialized fraud: The invented system provides effective measures against specialized fraud and improves the detection and prevention of fraudulent activities, which is expected to reduce fraud losses.

[0037] 2. Reduction of economic damage: The economic damage caused by specialized fraud is reduced. The risk of victims being scammed is reduced, and the assets of individuals and organizations are protected.

[0038] 3. Reduction of social anxiety: The anxiety of the elderly and others about becoming victims of special fraud will be reduced. A mechanism will be provided for families and related organizations to ensure the safety of users.

[0039] 4. Improved efficiency of law enforcement: Law enforcement agencies will receive effective information and notifications to more efficiently crack down on fraud, improving their operational efficiency.

[0040] 5. Overcoming the limitations of existing countermeasures: While existing countermeasures against special frauds have limitations, this invention provides a new approach and makes it possible to improve fraud countermeasures.

[0041] 6. Privacy protection: User privacy is respected and call content and information are properly protected. Anonymous registration and privacy-related features give users a sense of security.

[0042] 7. Improved crime prevention: The widespread use of this system will increase the likelihood of arrests and prosecutions for specialized fraud, reduce fraudulent acts themselves, and improve crime prevention.

[0043] 8. Effective communication: Effective information sharing and communication will be enabled between users, their families, relevant organizations, police, etc., strengthening protection for victims.

[0044] Through these effects, the present invention provides a comprehensive and effective measure against specialized fraud, thereby contributing to the resolution of social issues. [Brief description of the drawings]

[0045] [Figure 1] Flowchart diagram [Diagram 2] Illustration DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0046] The embodiments of the present invention are as follows: 1. Software Plug-in: The invented system will be implemented as a software plugin that will be integrated into communication systems such as landline, email, and mobile phone calls, and will transcribe, evaluate, and notify users of calls and messages.

[0047] 2. Speech Processing Software: Includes speech processing software to convert landline calls to text using VoIP, performing speech-to-text conversion and data processing, and applying NLP techniques.

[0048] 3. Text Generation AI: The generation AI evaluates the probability of a specialized fraud and makes a judgment based on the call content and information such as phone number and email address. This AI is trained to detect fraud characteristics and analyzes the call content using natural language processing technology.

[0049] 4. Database and information retrieval system: A database and information retrieval system is required to collect information on phone numbers, email addresses, and online information and use them as a basis for judgment. This will enable the evaluation of incoming phone numbers and the collection of information.

[0050] 5. Communication Infrastructure: In order to realize the invention, the communication infrastructure must be in place and call data and messages must be sent accurately to the plug-in. Communication security must also be taken into consideration.

[0051] 6. User Interface: A user interface is provided that allows users to operate the plugin and customize notification settings, etc. It is important that users can configure the system in a way that is easy to use.

[0052] 7. Operation and Maintenance: The system will be operated and maintained, including ensuring software updates and maintaining security, and may also provide user support.

[0053] 8. Building a business model: In order to implement an invention, it is necessary to build a business model and develop the business. Cost structures, fee plans, marketing strategies, etc. are planned.

[0054] By combining these forms, we realize the invention and provide it as an effective system for special fraud countermeasures. Multiple elements, such as software plug-ins and AI technology, are integrated to realize effective countermeasures. EXAMPLES

[0055] An embodiment of the present invention would be as follows: 1. Software Plugin Development: The developer team will design and develop a software plugin for the invented system. This plugin will be integrated into communication systems (landline, email, mobile, etc.) and provide the functionality to convert calls and messages into text and send them to the AI.

[0056] 2. Implement voice processing software: Implement voice processing software to convert landline phone voice to text using VoIP. Voice data is received and converted to text data.

[0057] 3. Training the Text Generation AI: The text generation AI uses the training data to learn the characteristics of fraud. NLP models are built to identify fraudulent elements and indicators in calls and messages.

[0058] 4. Establishment of database and information collection system: A system will be set up to collect telephone number, email address information and online information and store them in a database. An information search engine will also be integrated to evaluate incoming telephone numbers.

[0059] 5. Communication infrastructure is in place: The communication infrastructure is in place to ensure that call data and messages are sent accurately to the plug-in, communication security is ensured, and data safety is maintained.

[0060] 6. User interface development: A user interface will be developed for users to operate the plug-in and configure notification settings and customizations, optimizing the user experience and enabling users to use the system effectively.

[0061] 7. Operation and Maintenance: The system will be operated and maintained, with software updates, database management, security monitoring, and user support provided and issues resolved.

[0062] 8. Building a business model: Inventors and businesses develop a business model, set pricing structures, and develop marketing strategies to acquire users and generate revenue.

[0063] These implementation examples will realize and provide users with an effective system for combating specialized fraud. Software, AI technology, databases, communication infrastructure, etc. will be integrated to provide protection from specialized fraud and improve crime prevention. [Industrial Applicability]

[0064] The industrial applicability of this invention is broad and can be applied in the following fields: 1. Security industry: As a system to combat special fraud, there is a great demand for this technology in the security industry. Financial institutions, insurance companies, telecommunications companies, security companies, etc. can adopt this technology and use it to improve customer security.

[0065] 2. Telecommunications: The telecommunications industry is likely to adopt this technology to improve the security of calling and messaging services. Mobile operators and phone companies will work to improve the quality of their services and prevent fraud.

[0066] 3. Elderly support services: As a service specifically for the elderly, it can provide protection from specialized fraud. This technology can be used in elderly homes and facilities to reduce fraud damage.

[0067] 4. Law enforcement agencies: Police and investigative agencies can use the system to detect and prevent specialized fraud, and it is particularly useful for collecting crime information and protecting victims.

[0068] 5. Insurance industry: The insurance industry can use this technology to compensate victims and assess risks, helping to reduce fraud and prevent fraudulent insurance claims.

[0069] 6. Personal use: Personal users can also use this technology to protect themselves from fraud. It is provided as an application and can be linked to personal smartphones and communication services.

[0070] 7. Educational Institutions: Educational institutions can use this technology in their fraud education and prevention efforts. It can help teach students the skills to identify the signs of fraud.

[0071] 8. Municipalities and local governments: Local governments and government agencies can use this technology to protect the safety and welfare of their citizens. Provide citizen protection and assistance against specialized fraud.

[0072] The invented technology will be widely used in these industries and fields as a system for combating specialized fraud, contributing to reducing fraud damage and improving social safety.

Claims

1. 1. A method for preventing specialized fraud in a communications system, the method comprising the steps of: - Providing a means to monitor landline calls, emails and mobile calls and convert voice calls and messages to text. Analyzing call content and messages using natural language processing techniques via text generation AI to detect indications of fraud. - Evaluating the probability of specialised fraud based on the called telephone number, called address and content of the call. - If a high probability of specialized fraud is detected, notifying relevant users and relevant organizations.

2. According to claim 1, the means for converting call contents and messages into text converts call voice into text data using VoIP communication.

3. In claim 1 or 2, the text generation AI uses training data to learn the characteristics of fraud when analyzing call content and messages.

4. According to claim 1 or 2, when determining the probability of fraud based on the incoming telephone number, the incoming address and the contents of the call, related information is collected using an information search engine.

5. According to claim 1, when a high probability of fraud is detected, it is possible to select the relevant users and organizations to be notified.

6. According to claim 1, in order to protect the privacy of the user, an anonymous registration function and an automatic deletion function of the contents of the call are provided.

7. The present invention is characterized in that it is compatible with a plurality of communication means and is applicable to different communication formats such as landline telephone, e-mail, and mobile phone calls.

8. The present invention is characterized in that it provides a means for implementing a business model related to a patent relating to the provision of special fraud countermeasures, including a business model and a fee structure.

9. The present invention is characterized in that it includes a means for increasing the possibility of arresting and clearing up those committing specialized fraud in order to improve crime prevention.

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