34 results about "Privacy management" patented technology

The invention relates to the technical field of data privacy protection, in particular to a data privacy protection management system based on artificial intelligence, which is characterized in that a resource library building module is used for extracting privacy protection knowledge from multi-source data and building a structured resource library; and the privacy classification module classifies data privacy information and evaluates a sensitive level through intelligent identification and analysis, and provides a basis for a differential protection strategy. The privacy protection module fuses privacy types and sensitive levels, constructs a core policy engine, and comprises a privacy desensitization sub-engine, an access control sub-engine and a privacy risk prediction sub-engine, so as to realize automatic generation and dynamic adaptation of protection policies. And the privacy management module defines an execution sequence and a collaboration mechanism of each sub-engine according to a pre-configuration process, generates a privacy protection method covering the full life cycle of the data, ensures end-to-end collaboration management of links such as data acquisition, storage, use and sharing, and remarkably improves the compliance, efficiency and risk prevention and control capability of data privacy protection.

A blockchain-verified data tracking system provides enhanced data privacy management through selective masking of blockchain ledger fields. Data transactions associated with a data set are detected and recorded in a blockchain ledger, with certain data fields masked based on a blockchain permission scheme. Network nodes can store and transmit blockchain updates, generating a distributed and secure record of data transactions. The selective masking enables different levels of access to sensitive information based on user roles, permissions, or other criteria, facilitating compliance with data protection regulations while supporting data operations and analytics.

Disclosed are some techniques for implementing a data discovery agent in a network associated with a customer organization of a data privacy management system. Some implementations relate to one or more connections with one or more data sources storing private data of the customer organization. The one or more data sources can be scanned to obtain scanned data from the private data. The scanned data can be processed, including anonymizing the scanned data, to obtain preprocessed data for use by one or more classification operations. The preprocessed data can be shared with the data privacy management system. One or more classification promotion operations can be performed on classified data elements.

Data privacy management techniques using probabilistic data structures are described. In one or more examples, a dataset record is received that includes an identity key, a respective attribute, and confidential information. A sketch is generated as a probabilistic data structure based on the identity key and the attribute. A mapping is formed of the confidential information to the sketch. The sketch is communicated to be stored in a database that supports a probabilistic result to a query operation.

The present invention concerns a method for managing a privacy level in a wireless network comprising an access point, AP, station and at least one non-AP station, the method comprising by a first station, either a non-AP station or the AP station sending, to a second station a message comprising an information indicating a set of privacy enhancement, PE, parameters to be obfuscated, the set of PE parameters corresponding to a privacy level requested by the first station, the second station being the AP if the first station is a non-AP station, the second station being a non-AP station if the first station is the AP, and receiving from the second station a response indicating whether the second station accepts the requested privacy level.

Data privacy management techniques using probabilistic data structures are described. In one or more examples, a dataset record is received that includes an identity key, a respective attribute, and confidential information. A sketch is generated as a probabilistic data structure based on the identity key and the attribute. A mapping is formed of the confidential information to the sketch. The sketch is communicated to be stored in a database that supports a probabilistic result to a query operation.

A system for processing privacy permissions for consumers utilizing vendor applications allows for recording, storing, and retrieving consent transactions performed by the users (data subjects) in data schemas. The system uses a number of hash-generated IDs, such that when a request is received to retrieve subject data, an organization ID (associated with the vendor or application) and identifying value (associated with the subject) are hashed to create a subject ID. The subject ID, organization ID, and a schema ID for the schema associated with the subject are hashed to create a subject data ID, which is then used to retrieve consent transactions and permissions associated with the subject.

A data privacy management system and method are provided. The method includes providing at least one processor, at least one memory device including readable instructions, and at least one user device in communication with the at least one processor via a network connection; receiving at least one information sharing preference and at least one communication request related to user data from a user, and transmitting the information sharing preference and / or communication request to at least one third-party entity to provide enhanced data privacy protection and control to the user.

A system and method for privacy-enhanced social networking may include dynamically managing user privacy and identity through multiple user profile aliases by defining each alias with a specific subset of user information and context parameters, such as location, proximity to other users, or participation in events. The system may dynamically select and display the appropriate alias based on the user's current context, thereby ensuring context-sensitive visibility of user information. Features include geofencing, proximity-based networking, and event participation tracking, supported by advanced system architectures such as graph databases and machine learning models. Additional functionalities include privacy-enhanced messaging with facial recognition for recipient verification, anonymous gifting, and automated will execution. A map interface and real-time adaptability further enhance user engagement and privacy management, fostering secure, meaningful interactions while maintaining robust privacy controls for applications in professional networking, community events, and confidential communications.

A system and method for privacy-enhanced social networking may include dynamically managing user privacy and identity through multiple user profile aliases by defining each alias with a specific subset of user information and context parameters, such as location, proximity to other users, or participation in events. The system may dynamically select and display the appropriate alias based on the user's current context, thereby ensuring context-sensitive visibility of user information. Features include geofencing, proximity-based networking, and event participation tracking, supported by advanced system architectures such as graph databases and machine learning models. Additional functionalities include privacy-enhanced messaging with facial recognition for recipient verification, anonymous gifting, and automated will execution. A map interface and real-time adaptability further enhance user engagement and privacy management, fostering secure, meaningful interactions while maintaining robust privacy controls for applications in professional networking, community events, and confidential communications.

An example system places control and choice of managing the usage of private data into the hands of the users themselves. In some examples, the disclosed data privacy management system allows users to select preferences on how their private data is used by the business, both internally and externally. For example, the system may present users with one or more selectable options regarding how the user's private data is used. The system may then use the user's data for purposes that are in line with the user's selected preferences.

Disclosed are various examples for controlling and managing data access to increase user privacy and minimize intentional or inadvertent misuse of accessed information. Upon detecting a request for an administrator review of a user client device, permission for administrator access can be obtained from a user associated with the user client device. The client device identifier can be obfuscated such that the administrator accessing the data is not provided the actual device identifier. An administrator review session between the user client device and an administrator client device can be established to allow the administrator client device access to the permitted client device data.

The present disclosure relates to third-party access to end-user device assets. The present disclosure relates to systems, methods, and computer-readable media for identifying asset privacy management triggers related to third-party applications on an end-user device. In response to identifying an asset privacy management trigger, a privacy selection interface is displayed for enabling a user to select a restricted asset access option. In response to selecting the restricted asset access option, an asset selection interface is displayed, where the asset selection interface is configured to define a subset of assets of the end-user device as authorized for the third-party application based on user selection. In response to a subsequent request for access to assets of the end-user device by the third-party application, the third-party application is only able to access the defined subset of assets. The asset privacy management triggers and asset subset definitions can vary for different third-party applications or scenarios.

The invention generally refers to a method for privacy management of multimedia contents comprising: a step of acquisition of at least one multimedia content, a step of recognition of one or more users shown in the multimedia content, a step of configuration of a privacy policy associated with at least one user among the one or more users, and a step of application of the privacy policy to the multimedia content.

The present invention relates to a method for managing privacy levels in a wireless network comprising an access point (AP) station and at least one non-AP station, the method comprising: transmitting, by a first station, which is either a non-AP station or an AP station, to a second station, a message including information indicating a set of privacy-enhancing (PE) parameters to be obfuscated, the set of PE parameters corresponding to a privacy level requested by the first station, the second station being an AP if the first station is a non-AP station, and the second station being a non-AP station if the first station is an AP; and receiving, from the second station, a response indicating whether the second station accepts the requested privacy level.

The invention relates to the technical field of virtual fitting, in particular to an intelligent fitting system which is characterized by comprising a user interaction module, a rendering engine module, an application service module, a background analysis module, a database module, a privacy management module, an operation and maintenance monitoring module and a system integration module. Through multi-module collaborative construction, full-process intelligent control from user body shape acquisition, three-dimensional modeling and clothing simulation to intelligent recommendation, data analysis and equipment operation and maintenance is realized, the system has multiple characteristics, the online clothing refunding and changing rate is remarkably reduced, and through a local / cloud collaboration and desensitization transmission strategy on the aspect of system architecture, the real-time performance of the system is improved. Compliance processing of user privacy data is ensured; and the operation and maintenance monitoring mechanism realizes real-time health management and remote fault diagnosis of the front-end equipment, the system stability and the operation efficiency are improved, and the whole scheme can be suitable for shopping mall stores, brand cabinets, self-service terminals and retail flash scenes, and has good commercial suitability and popularization value.

Data privacy management techniques using probabilistic data structures are described. In one or more examples, a dataset record is received that includes an identity key, a respective attribute, and confidential information. A sketch is generated as a probabilistic data structure based on the identity key and the attribute. A mapping is formed of the confidential information to the sketch. The sketch is communicated to be stored in a database that supports a probabilistic result to a query operation.

A data privacy management system and method are provided. The method includes providing at least one processor, at least one memory device including readable instructions, and at least one user device in communication with the at least one processor via a network connection; receiving at least one information sharing preference and at least one communication request related to user data from a user, and transmitting the information sharing preference and / or communication request to at least one third-party entity to provide enhanced data privacy protection and control to the user.

The invention discloses a multi-model collaborative AI substitute chat marriage matching method and system based on dynamic personality and threshold takeover, and a storage medium. And collecting hard / soft information to generate an initial personality vector, and backfilling evidence with RFI + TTL in substitute chat to dynamically update the personality. Hard filtering and soft sorting are firstly carried out, threshold value compatibility screening is carried out, then an AI substitute chat sandbox is entered, the AI is obviously identified, and contact information / external links / PII are prohibited. The scoring device continuously calculates bidirectional scores SAB and SBA, weights of sensitive attributes are reduced, fair constraints are applied, and explainable evidences are output. And only when the two-way scores simultaneously reach a threshold value, a real person is triggered to take over and exit from the substitute chat domain, and substitute chat records and selectable contact information are opened through secondary grading agreement. The system modularization realizes identity and privacy management, matching with a threshold state machine, security evidence storage, telemetering and strategy gray level and SDK / API gateway.

For the purpose of optimizing privacy in a BSS, the proposed invention introduces privacy groups of non-AP STAs, so that a privacy parameter confusion process is performed independently for each privacy group. In this case, transition periods are associated with respective private groups of non-AP stations. Information regarding the execution of the obfuscation process associated with each privacy group is exchanged within the management frame during and after the association process. Individual transition periods, such as available values (e.g., AID12 values), are scheduled in an amount sufficient to perform the obfuscation process. The transition periods preferably do not overlap each other unless the number of available values is sufficient. The groups may be split or merged according to the number of evolutions of non-AP stations within the BSS.

A privacy management system includes a computing system with one or more processors. The privacy management system also includes memory storing instructions executable by the one or more processors to cause the computing system to detect use of an application on a user device operated by a user. The instructions are executable by the one or more processors to cause the computing system to instruct a camera of the user device to capture image data during the use of the application on the user device, and then to analyze the image data to identify a presence of one or more background objects. Further, the instructions are executable by the one or more processors to cause the computing system to initiate one or more privacy actions with respect to information on a display screen of the user device, in response to the presence of the one or more background objects.

A computer-implemented system and method for identity resolution and targeted advertising using QR codes and related digital triggers. A QR code generation module creates encoded identifiers embedded with campaign details and unique tracking links hosted on one or more servers. When a user scans a QR code, a data-collection module logs interaction data including geolocation and device information. An identity-resolution engine correlates the captured data with internal and third-party databases to generate and continuously enrich a unified user profile. A dashboard module presents enriched profiles, campaign analytics, and predictive insights, while integration interfaces automatically transmit updated identity data to marketing or analytics platforms for targeted activation. The system may further employ artificial-intelligence models, geo-fencing, MAID conversion, and privacy-management controls to deliver real-time, cross-channel identity resolution and personalized marketing actions.

We provide the system. [Solution] A device for collecting audio data, A device for extracting features from the aforementioned audio data, A device that receives the extracted feature data, A device equipped with an algorithm that analyzes the aforementioned characteristic data and identifies abnormal sounds, A device that notifies an external organization of a warning when an abnormal sound is detected, A device that provides controls for managing privacy, A system that includes this.

The invention relates to the technical field of data analysis, and discloses a privacy protocol generation method and device based on call chain analysis, equipment and a medium, and the method comprises the steps: determining a target call chain relation according to an authority call behavior; target privacy declaration information is obtained, consistency verification is carried out on the target privacy declaration information through a conflict detection algorithm, and conflict warning information is generated; and generating a target privacy protocol according to the privacy protocol template, the target call chain relationship and the conflict warning information. In this way, the call chain relation is constructed by collecting the permission call behaviors, and a low-efficiency mode in the prior art is replaced. By acquiring and verifying privacy declaration information and combining a conflict detection algorithm, automatic consistency verification is performed on the multi-source privacy declaration information, conflicts are found and early warned, and a privacy protocol is generated, so that the method and the device can be applied to the business fields of financial science and technology, medical health, old-age care and the like; and the efficiency of generating the privacy protocol of the application program by the privacy management system is improved.

In some implementations, a dataset evaluation system may receive a target dataset. The dataset evaluation system may-processing the target dataset to generate a normalized target dataset. The dataset evaluation system may process the normalized target dataset with an intruder dataset to identify whether any quasi-identifiers are present in the normalized target dataset. The dataset evaluation system may determine a Cartesian product of the normalized target dataset and the intruder dataset. The dataset evaluation system may compute, using a distance linkage disclosure technique, an inference risk score for the target dataset with the intruder dataset based on the Cartesian product and whether any quasi-identifiers are present in the normalized target dataset. The dataset evaluation system may output information associated with the inference risk score.

An intelligent dosing platform incorporating comprehensive social media integration and patient support network capabilities for injectable medication administration. The platform includes social media interface modules configured to facilitate medication-related communications across multiple social platforms, dosage detection modules that automatically trigger social media notifications and support group communications upon medication administration events, and patient network modules that connect patients with support groups and other patients with similar medication regimens. The system features agentic social network modules utilizing personal data assistants, personal LLM agents for automated content generation and scheduling management, and personal IoT network devices for enhanced social graph updates. Privacy management modules ensure HIPAA compliance while enabling user-controlled sharing of medication milestones and treatment achievements. Support group coordination modules facilitate virtual meetings and peer communications, while notification customization modules provide personalized updates for family members and caregivers based on detected medication administration events.

An example system places control and choice of managing the usage of private data into the hands of the users themselves. In some examples, the disclosed data privacy management system allows users to select preferences on how their private data is used by the business, both internally and externally. For example, the system may present users with one or more selectable options regarding how the user's private data is used. The system may then use the user's data for purposes that are in line with the user's selected preferences.

The invention discloses a transaction process data publishing method and system based on a block chain and differential privacy, which is used for scenes with strict requirements on data privacy such as transaction amount and the like, and comprises the steps of sensitivity registration and privacy management; the transaction party initiates an analysis request and generates a task event; the under-chain computing node receives the task event and executes differential privacy noise addition calculation of transaction data in a trusted execution environment to generate a local proof result containing a data noise addition result, zero-knowledge proof and privacy budget; each computing node under the chain adopts a privacy protection aggregation proving protocol to recursively aggregate local proving results and construct a total proving; and performing on-chain verification on the aggregation result and the total proof, and issuing a verification event. In this way, the correctness, privacy and auditing performance of the query process are ensured, and the method is suitable for e-commerce, finance and other scenes with strict requirements for data privacy.

The invention provides an adaptive differential privacy defect detection method based on federated learning and YOLO. The method comprises the following specific steps: (1) constructing an oil and gas pipeline weld defect data set; (2) a differentiated privacy budget and noise mechanism is configured for the trunk, the neck and the head of the model, and the effects of model parameter refinement and high-intensity privacy protection are achieved; (3) a closed-loop self-adaptive dynamic privacy management mechanism adjusts global privacy protection strength in real time at a server according to a training stage, model performance and residual budget, and achieves the effects of dynamically optimizing privacy and balancing model utility in the whole training period and maximizing the use efficiency of privacy budget; (4) a selective parameter uploading method: the client only transmits partial key layer parameters, and the server aggregates the heterogeneous parameters; and (5) training and verifying the improved model by using the data set constructed in the step (1).

The invention discloses an intelligent monitoring video privacy processing method and device and electronic equipment, and relates to the technical field of smart home, and the method comprises the steps: collecting an original video stream, and carrying out the real-time semantic recognition of the original video stream, and obtaining a semantic recognition result; the semantic recognition result comprises object areas of at least one privacy related category; determining a processing decision for the object region based on a preset rule set and the semantic recognition result; according to the processing decision, generating differential shielding metadata corresponding to the original video stream; and the original video stream and the differential shielding metadata are encrypted and stored in an associated manner. According to the method, the problems that in the prior art, a static masking scheme cannot dynamically adapt to scene changes and lacks refined privacy management capability are solved, and reversible privacy protection of self-adaptive privacy area recognition based on real-time semantic understanding, strategic masking decision and separated storage of an original video and a masking instruction is realized.