A METHOD FOR FILTERING PRIVACY-SENSITIVE MEANING COMPONENTS ON THE USER DEVICE IN 6G SEMANTIC COMMUNICATION.

Abstract

The invention presents a method for filtering privacy-sensitive semantic components before data transmission to protect user privacy in a 6G semantic communication infrastructure. The system includes a Semantic Analysis Module (1), Privacy Sensitivity Scoring Unit (2), Dynamic Filtering Layer (3), Semantic Encoding Unit (4), Transmission Control Interface (5), and User Preference Database (6). Thanks to this invention, components that pose a privacy risk are detected and filtered on the user device while extracting the meaning of the data. In this way, only the necessary semantic information is transmitted to the receiver, and the privacy of personal data is protected. The system provides secure and efficient communication in 6G networks by performing privacy scoring in the semantic vector space.

Description

1 TARIFF 6G SEMANTIC COMMUNICATION IS PRIVACY-SENSITIVE ON THE USER DEVICE. A METHOD THAT FILTERS COMPONENTS OF MEANING Technical Area The invention relates to semantic communication technologies used in 6G mobile communication networks. Specifically, the invention operates on the user device, interpreting semantic meaning prior to data transmission. A security system that identifies and filters privacy-sensitive components by making inferences. It is related to the mechanism. State of the Art Current semantic communication systems transmit the meaning (semantics) of the data instead of its raw form. The aim is to save bandwidth. However, in these systems, the meaning of the data... Privacy-sensitive data such as personal information, location information, or sensitive emotional expressions are not collected during the process. The components are also converted into semantic vectors. In current techniques, semantic coding... Although the transaction is usually protected with end-to-end encryption, the semantic information on the receiving end... The decoder's ability to interpret data can lead to privacy breaches. Especially in the 20 Third-party servers or cloud-based semantic processing units analyze the meaning of the data. This jeopardizes user privacy. Furthermore, current systems compromise the content of the data. It does not have a filtering mechanism that dynamically assesses the privacy risk. This This situation presents a significant security risk alongside the efficiency advantage brought by semantic communication. This creates a gap. 25 Purpose of the Invention The invention aims to protect user privacy in 6G semantic communication infrastructure through data transmission. It aims to offer a method that filters privacy-sensitive semantic components beforehand. 30 The primary purpose of the invention is to create the meaning of data during the semantic encoding process. By analyzing the components, components that pose a confidentiality risk are cleaned before transmission. The aim is to ensure that only the necessary semantic information is transmitted to the receiver, while personal or other information is not conveyed. Sensitive information does not leave the user's device. The invention provides privacy in the semantic vector space. By performing a scoring, it automatically identifies sensitive components above a certain threshold value. 35 It masks the data. Unlike the current technique, the invention processes the data not in its raw form, but semantically. 2 It performs filtering by analyzing at the level of semantic representations. This technical approach saves bandwidth and guarantees end-to-end privacy. It offers. Figures to Help Understand the Invention 5 Figure 1 shows a general representation of the system that is the subject of the invention. Explanation of Part References 1. Semantic Analysis Module 2. Privacy Sensitivity Scoring Unit 3. Dynamic Filtering Layer 4. Semantic Encoding Unit 5. Transmission Control Interface 15 6. User Preference Database Detailed Description of the Invention The invention provides privacy protection in the semantic communication process, operating on user devices in 6G networks. It is a system that filters sensitive semantic components. The system is located on the user's device. and the Semantic Analysis Module (1) that extracts the meaning of the data, the privacy risk of these meaning components The Privacy Sensitivity Scoring Unit (2) calculates the Dynamic component that extracts the risky components. Filtering Layer (3) Semantic Coding which converts the filtered data into semantic vectors Unit (4), Transmission Control Interface (5) which enables data to be transmitted to the network and user privacy 25 It includes User Preference Database (6) which stores preferences. The Semantic Analysis Module (1) analyzes the raw data (text, audio, etc.) generated by the user device. It takes an image and breaks down this data into its semantic components. This module breaks down data into conceptual units. By dividing it, it determines which semantic category each unit belongs to. For example, 30 in a sentence Components such as "location", "person's name", "emotional state", or "technical information" are separated. This process, by focusing on the conceptual structure that the data represents, rather than the raw data itself. is carried out. Privacy Sensitivity Scoring Unit (2) parses every 35 by Semantic Analysis Module (1) It calculates a privacy score for a meaning component. This unit is used with the User Preference Database (6). 3 By working in an integrated manner, it learns which data types the user considers private. The scoring process, 0 according to the component's category, context, and user-defined privacy policies. It is determined as a value between 1 and 2. For example, health data receives a high privacy score, while Weather information receives a low score. Dynamic Filtering Layer (3) is produced by the Privacy Sensitivity Scoring Unit (2). It analyzes the scores. This layer operates based on a predetermined threshold value. If a If the confidentiality score of the meaning component is higher than the specified threshold value, this component is transmitted. The data is dechained or anonymized. This process does not compromise the semantic integrity of the data. It only ensures the removal of fragments of meaning that pose a risk of privacy violation. 10 The Semantic Encoding Unit (4) is approved by the Dynamic Filtering Layer (3) and It receives the filtered semantic components. This unit processes the filtered data using 6G semantic communication. It converts data into semantic vectors according to standards. This conversion reveals the meaning of the data. It is optimized to provide minimum bandwidth usage while protecting privacy. Thus, privacy is 15 A semantic representation is created from which all components that pose a risk of violation have been completely removed. The Transmission Control Interface (5) is created by the Semantic Encoding Unit (4) It receives the vectors and transmits them to the 6G network infrastructure. This interface ensures data integrity during transmission. It checks and ensures that the semantic packets to be transmitted to the receiver are in the correct format. 20 Yes. Transmission control is performed adaptively according to network conditions. User Preference Database (6) contains the user's privacy preferences and data that they consider sensitive. It stores categories and past filtering decisions. This database is Privacy Sensitivity. It is the basic reference source for the Scoring Unit (2). The user determines which semantic components are 25 The database can be dynamically updated to include filters. The system works as follows: The user device generates data, and this data is semantic. The Analysis Module (1) separates the meaning components. Each separated component, Privacy Sensitivity Scoring Unit (2) by User Preference Database (6) reference 30 It is scored by taking into account the high-scoring components. The Dynamic Filtering Layer (3) detects the high-scoring components and scores them. Extracts components from the data stream. Filtered meaning components Semantic Encoding Unit (4) It is converted into semantic vectors by the Transmission Control Interface (5). Finally, this It transmits the vectors to the receiver over the 6G network. 35

Claims

4 REQUESTS 1. Privacy-sensitive semantic components on the user device in 6G semantic communication. It is a filtering method, and its characteristic is;  Semantic Analysis 5, which breaks down data generated by the user device into its semantic components. Module (1),  Privacy Sensitivity Scoring Unit (2) which calculates the privacy risk of the semantic components. Dynamic Filtering Layer (3) which detects and filters risky semantic components.  Semantic Encoding, which converts filtered meaning components into semantic vectors. Unit (4), 10  Transmission Control Interface (5) which enables the transmission of semantic vectors to the network and  User Preference Database (6) which stores the user's privacy preferences It includes.

2. Privacy-sensitive meaning on the user device in 6G semantic communication according to Claim 15 It is a method that filters its components, and its feature is; by the semantic analysis module (1) For each parsed semantic component, the User Preference Database (6) is referenced between 0 and 1. It includes a Privacy Sensitivity Scoring Unit (2) which calculates a privacy score among them.

3. Privacy-sensitive meaning on the user device in 6G semantic communication according to Claim 1. It is a method that filters its components and its feature is the Privacy Sensitivity Scoring Unit (2) By analyzing the scores generated, the significance of scores above a defined threshold is determined. It includes a Dynamic Filtering Layer (3) that removes its components from the transmission chain.

4. Privacy-sensitive meaning on the user device in 6G semantic communication according to Claim 1. It is a method that filters its components, and its feature is; Dynamic Filtering Layer (3) By receiving the approved semantic components, it complies with 6G semantic communication standards. It contains a Semantic Coding Unit (4) which converts semantic vectors.

5. Privacy-sensitive meaning on the user device in 6G semantic communication according to Claim 1. It is a method that filters its components, and its feature is that it enables the transmission of semantic vectors to the network. It includes a Transmission Control Interface (5) which checks the integrity of the data during transmission.

6. According to Claim 1, privacy-sensitive semantics on the user device in 6G semantic communication. It is a method that filters components, and its feature is that it considers the user's privacy preferences and sensitive 35 It includes a User Preference Database (6) which stores the data categories it finds.

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