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关于数据主权的最新出版物和专利

数据主权

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数据主权
数据主权塑造了符合不同司法管辖区法律框架的数据系统设计。

数据主权定义了在特定国家或地区司法管辖区内管理数据存储、处理和传输的法律和监管框架。该领域涉及数据本地化要求、隐私法和跨境数据流限制的交叉点,强调遵守诸如 GDPR、CCPA 和新兴国家数据保护法规等规定。技术和政策驱动的方法侧重于云基础设施设计、 加密 标准以及治理模型,确保数据受适用法律机构的管辖。以下汇编展示了最新的学术文章和专利解决方案,详细介绍了数据主权执行机制、合规技术、管辖权风险评估以及跨国数据治理框架方面的进展。

这是我们从众多科学在线期刊中精选的关于数据主权的全球英文出版物和专利,分类并侧重于数据主权、数据本地化、数据驻留、跨境数据流、数据管辖权、数据保护法、数据隐私法规、云数据主权、数据治理框架、数据政策、数据主权挑战、数据主权风险、数据主权执行和 GDPR。

Multi-agent ai-orchestrated disability-inclusive career guidance platform with multilingual accessibility and multi-country data residency

Patent published on the 2026-10-01 in US under Ref US20260301095 by U STARTUPS INC [US] (Jabara John [us], Zaman Khuram [us], Steren Marc [us])

Abstract: [0000] A computer-implemented method generates a personalized pathway report for a user based on heterogeneous labor-market and educational datasets. One or more processors receive user input via speech-to-text or text interfaces indicating at least a geographic location, subject, career cluster, education level, or occupation. The system generates textual preference data, normalizes the data into a structured feature vector, and retrieves job market, educational pathway, and opportunity data fr[...]


Our summary: The platform provides disability-inclusive career guidance using a multi-agent AI system. It generates personalized pathway reports based on diverse datasets and user input. The system employs machine learning for recommendations and offers multilingual outputs through translation and text-to-speech.

multi-agent systems, career guidance, multilingual accessibility, machine learning

Patent

An intelligent spitting deterrence system and method utilizing iot and ai technologies."

Patent published on the 2026-09-10 in WO under Ref WO2026185872 by DHRUV BARAD [IN] (Patel Geetika [in], Jaydevsinh Rameshbhai Zala [in], Gaurav Prabhubhai Bandhania [in], Dhruv Barad [in], Abrar Cinemawala [in], Jani Kush [in], Krishna Panchal [in], Rohit Pratik [in])

Abstract: The invention pertains to an intelligent spitting deterrence system leveraging IoT and AI technologies to mitigate public spitting. It comprises strategically placed cameras capturing high-resolution video, analyzed by a spitting detection module using machine learning algorithms like CNNs to identify spitting behavior. A facial recognition module extracts facial features for accurate identification, storing biometric data in a secured database with encryption standards. The system employs a dis[...]


Our summary: The system uses IoT and AI to detect and deter public spitting. It employs high-resolution cameras and machine learning for behavior analysis and facial recognition for identification. An automated cleaning mechanism activates upon detection, ensuring public hygiene and compliance with data privacy regulations.

IoT, AI, spitting deterrence, facial recognition

Patent

System for real-time academic stress analysis using advanced data analytics and machine learning to generate insights

Patent published on the 2026-08-26 in GB under Ref GB2704121 by ARUN JAIN [GB] (Ashima Jain [gb])

Abstract: A system for academic stress analysis and the generation of actionable insights. The system comprises a module 102 for creating and distributing customisable surveys to groups of students; a module 104 for real-time collection of survey responses; a module 106 for pre-processing responses, including performing exploratory factor analysis and identification of key stressors; a machine learning module 108 for analysing responses to predict outcomes, identify anomalies, and classify stress levels; [...]


Our summary: The system analyzes academic stress in real-time using machine learning and data analytics. It collects and processes survey responses to identify key stressors and predict outcomes. The system also generates actionable insights while ensuring GDPR compliance and accessibility.

real-time analysis, machine learning, data analytics, academic stress

Patent

Do data localization policies really improve cybersecurity outcomes?

Published on 2026-08-25 by @OXFORD

Abstract: AbstractData localization laws, which require data to be stored within a country’s physical borders, are often promoted as a means to enhance cybersecurity. But do these laws actually improve cybersecurity outcomes? This study compiles a global dataset of data localization laws and policies, employing econometric analysis to compare cybersecurity performance between countries with and without such regulations. Our findings indicate that data localization laws have no discernible effect on redu[...]


Our summary: This study analyzes the impact of data localization laws on cybersecurity outcomes. Findings reveal that such laws do not reduce the likelihood of cyber breaches. The results suggest that these regulations may raise costs and hinder innovation without improving security.

data localization, cybersecurity, econometric analysis, cyber breaches

Publication

Credential stacking engine for hierarchical influence validation

Patent published on the 2026-07-16 in US under Ref US20260203450 by BICKERSTAFF III GEORGE WILLIAM [US] (Bickerstaff Iii George William [us])

Abstract: [0000] The Credential Stacking Engine validates hierarchical influence by aggregating multi-source credentials, stacking them hierarchically to compute cumulative trust scores, verifying authenticity using cryptographic methods, auditing outcomes for compliance, and outputting validated results via a secure interface. It includes a credential input module for ingestion, a stacking processor for layered scoring, a verification engine for trust validation, an audit logger for compliance records, a[...]


Our summary: The Credential Stacking Engine aggregates multi-source credentials to compute cumulative trust scores. It verifies authenticity through cryptographic methods and audits outcomes for compliance. This invention enables structured, portable trust across distributed networks, ensuring GDPR compliance and interoperability.

Credential stacking, hierarchical influence, cryptographic verification, compliance auditing

Patent

Mission-aware moderation engine for ethical and trust-aligned governance

Patent published on the 2026-07-09 in US under Ref US20260197351 by BICKERSTAFF III GEORGE WILLIAM [US] (Bickerstaff Iii George William [us])

Abstract: The Mission-Aware Moderation Engine governs digital content by ingesting multi-source data, aligning moderation with organizational missions, applying ethics-based decision models, auditing actions for compliance, and delivering governance outputs via secure interfaces. The system includes a content ingestion module for data intake and validation, a mission alignment processor for contextual scoring, an ethics model for principled moderation, an audit trail generator for traceable records, and a[...]


Our summary: The Mission-Aware Moderation Engine governs digital content by aligning moderation with organizational missions and applying ethics-based decision models. It includes modules for data ingestion, contextual scoring, principled moderation, and audit trails. This system ensures GDPR compliance and trustworthy governance for applications like social media moderation.

Moderation, Governance, Ethics, Compliance

Patent

Automating and standardizing regulatory intelligences and workflows

Patent published on the 2026-06-25 in US under Ref US20260181023 by ONETRUST LLC [US] (Shah Milap [in], Viswanathan Subramanian [us])

Abstract: [0000] Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a decision tree to generate a recommended action in response to detecting a change in a data map representing a computing environment. The disclosed system determines relationships among data objects representing digital data, digital assets, and data processing activities and generates a data map according to the relationships. The disclosed system monitors the data map for changes and, respo[...]


Our summary: The system automates regulatory workflows by utilizing a decision tree to generate recommended actions based on changes in a data map. It monitors relationships among data objects and processes relevant to digital assets and data activities. Upon detecting changes, it executes API calls to modify digital assets and data processing activities accordingly.

regulatory automation, decision tree, data mapping, API integration

Patent

A Comprehensive Survey of Cybersecurity Threats and Data Privacy Issues in Healthcare Systems

Published on 2026-02-02 by Ramsha Qureshi, Insoo Koo @MDPI

Abstract: The rapid digital transformation of healthcare has improved clinical efficiency, patient engagement, and data accessibility, but it has also introduced significant cyber security and data privacy challenges. Healthcare IT systems increasingly rely on interconnected networks, electronic health records (EHRs), tele-medicine platforms, cloud infrastructures, and Internet of Medical Things (IoMT) devices, which collectively expand the attack surface for cyber threats. This scoping review maps and sy[...]


Our summary: This survey explores cybersecurity threats and data privacy issues in healthcare systems. It highlights the challenges posed by interconnected networks and various digital platforms. The findings emphasize the need for multi-layered defense strategies and ongoing research to enhance patient data protection.

Cybersecurity, Data Privacy, Healthcare IT, Threat Detection

Publication

涵盖的主题: 数据主权、法律框架、数据本地化、隐私法、跨境数据流、合规性、GDPR、CCPA、数据保护、云基础设施、加密标准、治理模型、执行机制、管辖权风险评估、跨国数据治理、ISO/IEC 27001、ISO/IEC 27018、GDPR、CCPA 和 NIST SP 800-53。

常用术语表

Critical Control Points (CCP): 生产过程中可实施控制措施以预防、消除或将食品安全危害降低至可接受水平的特定阶段。识别这些环节对于食品生产系统中有效的危害分析和关键控制管理至关重要。

历史背景

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2013-09-24

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