81 results about "Privacy policy" patented technology

Systems, methods and apparatus for location-based services with data privacy protection. A privacy agent in network communication with a global privacy policy registry is installed on a mobile device. The privacy agent is operable to enforce rules based on privacy agreements when the mobile device is within and / or within a predetermined proximity of one or more geofences.

The invention discloses a privacy policy legality automatic detection method and system based on deep learning, which is applied to the technical field of legal artificial intelligence, and comprises the following steps: obtaining a privacy policy text based on a multi-dimensional corpus screening mechanism driven by an industry risk weight; on the basis of the determined compliance dimension and the legality state label, constructing a fine-grained semantic judgment rule, and generating a legality labeling result by using a large language model; constructing a dual-task architecture of legality classification and violation type identification based on a deep learning language model, and performing model training based on the obtained legality annotation data set; according to the dual-task architecture, BERT is used as a basic coding layer, and a CNN and a BiLSTM are respectively adopted to carry out legality classification and violation type identification; and inputting a to-be-tested privacy policy text to the trained model to obtain an identification result. According to the method, the limitation of traditional rule matching is broken through, and automatic compliance analysis, multi-dimensional risk positioning and interpretability judgment are realized.

The invention discloses a large model-oriented split privacy protection training method, which comprises the following steps that: a pre-trained large model is divided into a client side model bottom layer and a top layer and a cloud server side model middle layer along a network depth direction, a client only processes local private data, and a terminal cloud performs cooperative training through middle activation. The method is oriented to privacy protection of a large model, a privacy strategy adaptive to characteristics of the large model, application of a cross-model architecture, realization of accurate privacy-utility balance, noise injection of token importance perception, lightweight noise post-calibration, provision of privacy guarantee of theoretical constraints, a token-level differential privacy mechanism and parameterized adjustable privacy constraints. According to the method, deployment feasibility and system efficiency are optimized, extra calculation and storage overhead is low, an efficient parameter fine tuning technology is compatible, the communication traffic and calculation requirements are greatly reduced while the privacy protection effect is guaranteed, and efficient and practical privacy fine tuning of a large-scale model under a split learning architecture is supported.

The invention relates to an APP personal information data circulation compliance and data risk detection method. The method comprises the steps that a first-party privacy policy is acquired and analyzed to generate a third-party sharing list; extracting an entity relationship sequence by using the trained NLP model after crawling a third-party policy full text; constructing a personal information circulation knowledge graph according to the third-party shared list, comparing the entity relationship sequence with a compliance rule base through a graph matching algorithm to generate a compliance result, and labeling the compliance result to the graph; finally, a privacy threat report is generated based on graph reverse derivation analysis, and the risk of an operator is comprehensively evaluated. According to the method, automatic compliance and risk detection of mobile application data circulation full links can be realized, and the limitation that only a single application policy can be analyzed in the prior art is effectively overcome.

The invention provides a privacy policy automatic generation system and method, and relates to the technical field of data processing, and the method comprises the steps: 1, collecting business information of an internet application, including data processing behaviors of the application and a third-party SDK, and converting the business information into a standardized privacy policy data input protocol format; 2, based on the privacy policy data input protocol format, laws and regulations and normative files are matched from a preset laws and regulations knowledge base, and a structured laws and regulations rule set is generated. According to the method, the privacy policy text which meets the requirements of laws and regulations and has formality and readability is finally generated by automatically collecting the service information, matching the laws and regulations and dynamically allocating the clause priorities, and the problem of manually maintaining the compliance and transparency of the privacy policy is solved.

The invention relates to a method and a device for identifying sensitive fields in SQL (Structured Query Language) statements and electronic equipment. The method comprises the following steps: analyzing an SQL statement to extract all fields in the SQL statement; performing sensitive identification on each field of the SQL statement by utilizing a semantic analysis model and a preset rule base to obtain a corresponding first identification result and a second identification result; under the condition that the first recognition result or the second recognition result of the target field is the sensitive field, the target field is determined to be the sensitive field, and the target field is any field in the SQL statement; and according to the field type of the target field and the query scene, selecting one or more privacy policies from a preset privacy policy set to perform privacy processing on the target field. The technical problems that manual labeling is prone to omission, a desensitization strategy is fixed, and sensitive fields cannot be automatically recognized and dynamically protected according to scenes are solved.

The invention belongs to the technical field of artificial intelligence, and relates to an AI psychological tutoring system with emotion intelligence and privacy calculation double engines, comprising: a data acquisition and fusion module for generating a fusion input stream with time-space alignment; the emotional state analysis module is used for generating a dynamic emotional state matrix; the privacy strategy generation module is used for triggering a privacy calculation engine to construct a differential privacy domain according to the dynamic emotional state matrix and generating hierarchical data grids; the privacy recoding module is used for executing privacy recoding on the fused input stream according to the hierarchical data grids to generate an anti-reverse engineering ciphertext packet; the self-adaptive strategy generation module is used for generating a self-adaptive tutoring strategy tree; and the closed-loop intervention execution module is used for driving the terminal equipment to execute feedback of the self-adaptive tutoring strategy tree and generating a closed-loop psychological intervention flow. According to the invention, the problem that a real-time capture and response mechanism for user feedback is lacked due to the fact that most interaction modes are one-way output is solved.

Data processing systems and methods, according to various embodiments, are adapted for determining an applicable privacy policy based on various criteria associated with a user and the associated product or service. User and product criteria may be obtained automatically and / or based on user input and analyzed by a privacy policy rules engine to determine the applicable policy. Text from the applicable policy can then be presented to the user. A default policy can be used when no particular applicable policy can be identified using by the rules engine. Policies may be ranked or prioritized so that a policy can be selected in the event the rules engine identifies two, conflicting policies based on the criteria.

The invention relates to the technical field of network space security, in particular to a block chain consensus protocol privacy protection method based on a right proof. Through a node capability construction mechanism, hardware acceleration data cache data, environment electromagnetic data and load data are acquired, a comprehensive influence value is calculated through an exponential attenuation correction model and the like, a real-time capability level is analyzed and output, and then a complete set of lightweight multi-level privacy policies and other multi-level privacy policies are matched, so that low-end nodes are prevented from being overloaded due to insufficient computing power, and the security of the low-end nodes is improved. High-end nodes are enabled to exert the computing power advantage, and the adaptability of privacy protection and node computing power is improved; according to the method, through an adaptive scheduling mechanism, attack protection monitoring, intermediate sensitive data and key data monitoring, comprehensive risk value calculation, risk level determination, low-risk maintenance generation, intermediate-risk degradation generation and other adjustment schemes, privacy execution is dynamically optimized, and the overall efficiency is balanced while privacy security is guaranteed.

The invention discloses a mobile application privacy policy compliance detection method based on a pre-training model, and aims to realize efficient and intelligent privacy policy compliance automatic detection. The method comprises the following steps: firstly, constructing a hierarchical privacy policy compliance detection index system according to domestic related laws and regulations and standards; secondly, collecting an original text of the privacy policy through a web crawler technology, and constructing an unlabeled corpus after cleaning and structured processing; thirdly, constructing a multi-label classification data set based on a mode of combining a large language model and manual review; mapping the text and the label to a unified semantic vector space by adopting a text-label joint embedding strategy, and inputting the text and the label into a multi-granularity classification model; according to the model, on the basis of an ERNIE pre-training model, context feature enhancement and deep semantic interaction are realized through a bidirectional long-short-term memory network, a self-attention mechanism and a text-label cross attention mechanism, so that the multi-label classification performance is remarkably improved; finally, according to a label prediction result output by the model and a preset index system, compliance judgment is automatically completed, and a structured detection report is generated. According to the invention, the automation degree and efficiency of privacy policy compliance detection are effectively improved.

The invention discloses a privacy compliance analysis method for a built-in third-party library of a mobile application, and belongs to the field of mobile application dynamic analysis, automatic testing and privacy compliance analys.The method comprises the steps that firstly, dynamic testing is conducted on an APP through a dynamic analysis module, API calling is monitored and flow and log files of API calling are stored while flow plaintexts are collected and decrypted, and the flow plaintexts are stored; carrying out reverse analysis on the APP on the basis of analyzing the flow and the log file to identify a data flow of a built-in third-party library of the APP; step 2, the privacy policy analysis module uses a large language model to preprocess the form of the privacy policy of the APP, identifies a list of a built-in third-party library contained in the form and a corresponding privacy information type, and then uses a natural language processing method to extract behaviors related to the privacy information from the privacy policy of the APP; and step 3, a privacy compliance analysis module compares a result of the dynamic analysis module in the step 1 with a result of the privacy policy analysis module in the step 2 for the defined illegal behaviors, and detects a privacy compliance problem of a built-in third-party library TPL of the APP.

The present invention discloses a blockchain supervision method and system supporting privacy protection, the present invention includes: cloud service consumer CSC encrypts data d C ', encrypted private key sk C " and privacy requirements pr are put on the chain; the cloud service provider CSP puts the privacy policy pp on the chain, and the cloud service provider CSP initiates a decryption request; the blockchain runs the smart contract to perform a privacy compliance check based on the privacy requirements pr and privacy policy pp, and if it passes, it agrees that the cloud service provider CSP will decrypt the data d C 'Decrypted to data d C , processed (calculated or stored) into data d P And encrypted and uploaded to the chain; cloud service consumer CSC downloads and decrypts to obtain data d P The present invention can realize the functions of supervision, auditing and privacy protection, and has the advantages of being tamper-resistant, traceable, risk-resistant and privacy-enhanced. It is of great significance for balancing the needs of supervision and privacy protection and building an efficient and reliable cloud computing supervision mechanism.

The invention discloses a privacy leakage detection method and device for an applet, electronic equipment and a storage medium, the method and device are applied to the electronic equipment and are used for carrying out privacy leakage detection on the applet, specifically, an API in the applet is recognized according to a developer document, the API involving user personal data reading serves as a taint source, and the taint source is used for detecting privacy leakage of the applet. An API related to user sensitive information transmission is used as a taint convergence position; performing static taint analysis on the program code of the to-be-analyzed applet to obtain a behavior set of the applet for processing the user sensitive information; constructing a cue word list of the applet based on the behavior set, wherein cue words comprise a data type and an operation type of data accessed by the applet; and based on a chain thinking prompt strategy and a multi-query mechanism, performing compliance judgment on the prompt words in the prompt word list by utilizing a large language model in combination with an applet privacy policy to obtain judgment results, and forming a detection report based on all the judgment results. Whether the privacy data use behavior of the applet is consistent with the privacy policy of the applet can be confirmed through the detection report, so that whether the applet has privacy leakage or not is confirmed.

A system includes a processor and a memory accessible to the processor. The memory stores instructions that, when executed by the processor, cause the processor to determine a privacy policy score for one of an application and a website and provide the privacy policy score to a device.

Methods, computer-readable media, software, and apparatuses may assist a consumer in keeping to their preferred privacy preferences when making a purchase online. Differences between the privacy policy of a vender and the privacy preferences of the consumer may be output for display to the consumer, along with alternative vendor recommendations, including vendors having privacy policies more closely match with the privacy preferences of the consumer.

A system and a method for data privacy compliance are disclosed The system is configured to receive, from a client device, information associated with a data fiduciary, the information comprising a digital offering provided by the data fiduciary, a plurality of labels corresponding to a plurality of data fields associated with the digital offering, at least one reference data privacy policy document associated with the data fiduciary, or any combination thereof. Further, system determines one or more labels of the plurality of labels used for collecting personally identifiable information (PII) based on at least one predefined criteria, and determines one or more purposes associated with the collection of the PII and a compliance of the one or more determined labels with the one or more determined purposes. Based on the determined compliance of the one or more labels, the system performs at least one action.

The application relates to the technical field of medical data privacy protection, and discloses a surgical operation data privacy protection system based on a block chain. After a surgical operation data classification module obtains surgical operation data, the data content is analyzed, and data partitions are divided based on data attributes; a privacy policy mapping module obtains the data partitions, associates privacy policies stored in a block chain, and establishes a mapping relationship between the data partitions and the privacy policies; a key combination module extracts key partitions based on the mapping relationship, combines encryption keys, and calculates key matching degrees; a policy updating module updates the privacy policies and adjusts the mapping relationship based on the key combination and access records; and an access management module processes access requests and generates an access control library based on the updated mapping relationship. Through the collaborative operation of the multiple modules, the adaptability and reliability of surgical operation data privacy protection are improved.

Embodiments disclosed herein are directed to computing technology for programmatically sanitizing unwanted content that is shared in a meeting. The unwanted content may be sanitized in real-time and in a meeting presentation. In an implementation, the unwanted content is detected, and a determining a sensitivity mitigation action is determined for the unwanted content. The sensitivity mitigation action is applied to generate a modified presentation of a live meeting presentation such that aspects of the unwanted content are removed. A graphical user interface (GUI) tool is disclosed to enable users to control application of a sensitivity mitigation action. In this manner, embodiments disclosed herein facilitate complying with a privacy policy.

1. The name of the design product: electronic device's telematics privacy policy viewing graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: telematics privacy policy viewing for the vehicle-mounted system. 7. The human-computer interaction mode of the graphical user interface: design 1 front view and design 2 front view are the pages for system general settings. Click the "XX car telematics privacy policy" right "symbol" below the design 1 front view, enter the design 1 change state diagram, and view the telematics privacy policy. Click the "XX car telematics privacy policy" right "symbol" below the design 2 front view, enter the design 2 change state diagram, and view the telematics privacy policy.

The invention relates to the technical field of soil management, and discloses a multi-source data-based agricultural decision support system, which comprises a dialogue module, a land parcel module and a my module, and is characterized in that the dialogue module comprises trial questions, historical dialogues and voice questions and answers; the land parcel module comprises land parcel management, periphery matching, report generation and data analysis; the my module comprises members, fruit values, reward fruit values, account setting, privacy policies, message notification and system setting. According to the agricultural decision support system based on the multi-source data, scientific and rigorous investment decisions can be made based on detailed historical climate records, geographical environment characteristics, altitude differences, soil types, market trends and other factors of selected land parcels; meanwhile, information such as historical climate, real-time weather forecast, disaster early warning and minute-level rainfall prediction within the range of 3-6 kilometers around a specific land parcel can be timely acquired, and agricultural producers can flexibly arrange agricultural activities conveniently.

The invention relates to the technical field of medical data privacy protection, and discloses a surgical operation data privacy protection system based on a block chain. After a surgical data classification module of the system obtains surgical data, data content is analyzed, and data partitions are divided based on data attributes; the privacy policy mapping module obtains the data partitions, associates privacy policies stored by the block chain, and establishes a mapping relationship between the data partitions and the privacy policies; the key combination module is used for extracting key partitions based on the mapping relation, combining encryption keys and calculating the key matching degree; the strategy updating module is used for updating the privacy strategy and adjusting the mapping relation based on the key combination and the access record; and the access management module processes the access request and generates an access control library based on the updated mapping relationship. According to the system, the adaptability and reliability of surgical operation data privacy protection are improved through multi-module collaborative operation.

An object of a system according to an embodiment is to facilitate legal interpretation and data linkage and to utilize data in real time.SOLUTION: A system according to an embodiment includes a legal interpretation part, a data cooperation part, and a real time data utilization part. The legal interpreter gets a comprehensive agreement on the privacy policy. The data collaboration unit integrates the data into a common data infrastructure based on the consent obtained by the legal interpretation unit. The real-time data utilization unit utilizes the data integrated by the data linkage unit in real time.SELECTED DRAWING: Figure 1

The invention discloses a mobile application third-party SDK privacy compliance detection method and system and electronic equipment, and relates to the technical field of mobile application security. The compliance detection method mainly comprises the following steps: analyzing a mobile application installation package through static asset detection, extracting an integrated third-party SDK (Software Development Kit) list, and comparing the integrated third-party SDK list with a preset third-party SDK asset library to complete component identification; the method comprises the following steps: running an application in a sandbox environment through dynamic compliance detection, triggering an SDK behavior, carrying out SDK running state detection to find a zombie SDK which is not actually called, carrying out privacy compliance similarity detection at the same time, carrying out semantic similarity comparison on an SDK actual data collection behavior and application privacy policy text declaration content, and judging a consistency compliance risk of the SDK actual data collection behavior and the application privacy policy text declaration content. According to the method, the zombie component in the mobile application integrated third-party SDK and the compliance risk that privacy policy disclosure does not conform can be effectively found, and the detection automation degree and accuracy are improved.

Embodiments disclosed herein are directed to computing technology for programmatically sanitizing unwanted content that is shared in a meeting. The unwanted content may be sanitized in real-time and in a meeting presentation. In an implementation, the unwanted content is detected, and a determining a sensitivity mitigation action is determined for the unwanted content. The sensitivity mitigation action is applied to generate a modified presentation of a live meeting presentation such that aspects of the unwanted content are removed. A graphical user interface (GUI) tool is disclosed to enable users to control application of a sensitivity mitigation action. In this manner, embodiments disclosed herein facilitate complying with a privacy policy.

1. Name of the product in this design: Graphical User Interface for a Travel System for Electronic Devices. 2. Intended use of this design: for use in electronic devices. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key points: the front view. 5. The design for which protection is sought includes color. 6. Due to the lack of design considerations, the rear view, left view, right view, top view, and bottom view are omitted. 7. Purpose of the graphical user interface: This design allows users to access the itinerary interface of the tourism system through operations on the interface, enabling them to plan their travel itinerary. 8. Description of the changing states of the graphical user interface: The user interface of the product is the tourism system APP interface. After opening the APP and entering the main view interface, wait a few seconds and then enter the interface changing state diagram 1. Enter your mobile phone number and verification code, check "I have read and agree to the (Privacy Policy) and (User Agreement)" below, and click "OK" to enter the interface changing state diagram 2. Click "Itinerary" to enter the interface changing state diagram 3. The logical changes between the above multiple interfaces are in a single direction. To enter interface change state diagram 3, you must pass through interface change state diagram 2; to enter interface change state diagram 2, you must pass through interface change state diagram 1; and to enter interface change state diagram 1, you must pass through the main view interface.

The application discloses a large model-oriented split privacy protection training method, which comprises dividing a pre-training large model into a client-side model bottom layer and a top layer and a cloud server-side model middle layer in the network depth direction, wherein the client only processes local private data, and the end cloud cooperatively trains through intermediate activation steps, the application is oriented to large model privacy protection, adapts to the privacy policy of large model characteristics, is applicable to cross-model architecture, realizes accurate privacy-utility balance, token importance-aware noise injection, lightweight noise post-calibration, provides a theoretical constraint privacy guarantee, a token-level differential privacy mechanism, a parameterized adjustable privacy constraint, optimizes deployment feasibility and system efficiency, has low additional calculation and storage overhead, and is compatible with a parameter efficient fine-tuning technology, while guaranteeing the privacy protection effect, greatly reduces communication and calculation requirements, and supports efficient and practical privacy fine-tuning of a large-scale model under a split learning architecture.

The invention discloses an interaction device and method for realizing dialogue of desktop pets through an AI key. The device comprises an AI key event identification unit, a function state detection unit, a desktop state verification unit, a control traversal unit, an event transmission unit and a session processing unit. When it is detected that the physical AI key is pressed for a long time and the function is in an enabled state, the system judges whether a current foreground is a desktop main interface, whether a desktop mode is a default mode, whether a screen is bright and whether a desktop is static; only when all conditions are met, traversing the desktop view hierarchy to position a target control with a pet identifier, and converting an AI key event into a recording start and stop instruction of the control, so as to realize recording control and voice data acquisition. And after the recording is finished, the system generates a session identifier and selects a local or cloud path to start the voice conversation of the pets according to the privacy policy and the network state. The method has the advantages of mistaken touch prevention, privacy protection, quick response and the like, and the interaction experience of the mobile terminal is improved.

1. The name of the design product: loan product content display interactive graphical user interface for mobile phones. 2. The use of the design product: a mobile phone. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram 1. 5. The use of the graphical user interface: the interface is used for loan product content display. 6. The human-computer interaction mode of the graphical user interface: after filling in the "account" information and "password" information in the main view, check the "I have agreed to the XXX service agreement and privacy policy" option, and click the "login" control to enter the interface change state diagram 1. Click the "employee welfare area" control in the interface change state diagram 1 to enter the interface change state diagram 2. Click "Exclusive Benefits" in the interface change state diagram 2 to enter the interface change state diagram 3.

Embodiments described herein relate to methods and apparatuses for managing subscription to at least a first API dealing with privacy sensitive data provided by the API service provider, the API service provider having access to a plurality of privacy policy templates, wherein each privacy policy template comprises one or more values for a plurality of parameters comprising: an application context parameter, a purpose parameter, a data scope parameter a legal basis parameter. A method performed by an API service provider may comprise: receiving a subscription request to subscribe an application to a first API provided by the API service provider, wherein the application is associated with at least one first application context at the API service provider; and obtaining one or more suitable privacy policy templates from the plurality of privacy policy templates, wherein the one or more suitable privacy policy templates each comprise values for the plurality of parameters that correspond to the at least one first application context, one or more first data scopes and one or more first purposes; and selecting a first privacy policy template from the one or more suitable privacy policy templates; creating a first privacy policy from the first privacy policy template for use with the application, wherein the first privacy policy is associated with a first legal basis.

A privacy policy generation method, an electronic device, and a computer-readable storage medium, relating to the technical field of terminal privacy security. The privacy policy generation method comprises: performing sensitive behavior scanning on a component object, and recording a target program interface where a sensitive behavior is detected (S10); performing sensitive behavior recognition on the target program interface on the basis of a preset sensitive behavior set, and recording a recognition result (S20); on the basis of the recognition result, determining a privacy policy statement corresponding to the sensitive behavior in the preset sensitive behavior set (S30); and assembling the privacy policy statement on the basis of a preset rule, so as to generate a privacy policy text (S40).