This document discusses using User-Managed Access (UMA) to protect personal data in an Internet of Things (IoT) network for a patient-centric use case. UMA allows an individual to control access to their personal data stored across different devices and systems. The summary describes a scenario where a patient's heart rate data collected from an electronic stethoscope is stored and the patient uses UMA to grant their doctor access to view the data. UMA provides a centralized authorization system to help empower individuals to manage access to their personal information distributed throughout an IoT network.
This document discusses using User-Managed Access (UMA) to protect personal data in an Internet of Things (IoT) network for a patient-centric use case. UMA allows an individual to control access to their personal data stored across different devices and systems. The document outlines how UMA could work in an example scenario where a patient's heart rate data is collected from a smart stethoscope and stored in an electronic health record. UMA provides a centralized authorization system to govern access to the patient's data based on their policies. This approach improves patient experience and empowerment over their personal health information.
The document discusses user-managed access (UMA) and how it allows individuals to take control of their personal data. UMA enables users to manage sharing and protect access to different types of personal data, like social, location, and health information, from a single hub. It provides benefits like maintaining a centralized view of collected data, allowing individuals to define how their data is handled, and enabling them to disable sharing at any time with policy enforcement. UMA uses an authorization manager and sharing policies to give users control over their personal information and which parties can access it.
The document summarizes progress on the User-Managed Access (UMA) specification for standardized authorization as a service. It discusses specification development, ongoing interoperability testing of implementations, planned standardization timelines, relevant use cases across multiple domains, integration with other standards like OAuth and OpenID Connect, and how UMA can contribute to conversations around privacy and consent for personal data sharing.
Consumerizing Industrial IoT Access Control: Using UMA to Add Privacy and Usa...Eve Maler
The document discusses the challenges of authorization for constrained environments like IoT devices and proposes a solution called User-Managed Access (UMA). UMA is a draft standard that uses OAuth to enable selective sharing of resources through centralized authorization servers. This allows resource owners like users to control access through policies while respecting privacy. The approach was tested for applications like fitness devices and addresses challenges like scale, discovery, flexibility and partitioning of authorization for complex modern systems. Future work is needed to refine UMA for disconnected IoT environments.
11 ways blockchain can improve the healthcare industryJohnsMike1
Blockchain is a win-win technology for patients, as well as medical professionals. These are the 11 ways the healthcare industry can benefit from blockchain development.
How blockchain is revolutionising healthcare industry’s challenges of genomic...Tyrone Systems
Blockchain has the potential to revolutionize healthcare data management by providing a standardized and decentralized system for storing electronic medical records. It allows different healthcare stakeholders secure access to patient data without special software or databases. By encrypting data and only allowing access with a private key, blockchain increases security and privacy compared to traditional systems. It also gives patients more control over their own health data by allowing them to own and potentially sell their genomic data if they choose. Overall, blockchain could significantly improve how electronic health records are securely shared and stored across the healthcare industry.
This document discusses using User-Managed Access (UMA) to protect personal data in an Internet of Things (IoT) network for a patient-centric use case. UMA allows an individual to control access to their personal data stored across different devices and systems. The summary describes a scenario where a patient's heart rate data collected from an electronic stethoscope is stored and the patient uses UMA to grant their doctor access to view the data. UMA provides a centralized authorization system to help empower individuals to manage access to their personal information distributed throughout an IoT network.
This document discusses using User-Managed Access (UMA) to protect personal data in an Internet of Things (IoT) network for a patient-centric use case. UMA allows an individual to control access to their personal data stored across different devices and systems. The document outlines how UMA could work in an example scenario where a patient's heart rate data is collected from a smart stethoscope and stored in an electronic health record. UMA provides a centralized authorization system to govern access to the patient's data based on their policies. This approach improves patient experience and empowerment over their personal health information.
The document discusses user-managed access (UMA) and how it allows individuals to take control of their personal data. UMA enables users to manage sharing and protect access to different types of personal data, like social, location, and health information, from a single hub. It provides benefits like maintaining a centralized view of collected data, allowing individuals to define how their data is handled, and enabling them to disable sharing at any time with policy enforcement. UMA uses an authorization manager and sharing policies to give users control over their personal information and which parties can access it.
The document summarizes progress on the User-Managed Access (UMA) specification for standardized authorization as a service. It discusses specification development, ongoing interoperability testing of implementations, planned standardization timelines, relevant use cases across multiple domains, integration with other standards like OAuth and OpenID Connect, and how UMA can contribute to conversations around privacy and consent for personal data sharing.
Consumerizing Industrial IoT Access Control: Using UMA to Add Privacy and Usa...Eve Maler
The document discusses the challenges of authorization for constrained environments like IoT devices and proposes a solution called User-Managed Access (UMA). UMA is a draft standard that uses OAuth to enable selective sharing of resources through centralized authorization servers. This allows resource owners like users to control access through policies while respecting privacy. The approach was tested for applications like fitness devices and addresses challenges like scale, discovery, flexibility and partitioning of authorization for complex modern systems. Future work is needed to refine UMA for disconnected IoT environments.
11 ways blockchain can improve the healthcare industryJohnsMike1
Blockchain is a win-win technology for patients, as well as medical professionals. These are the 11 ways the healthcare industry can benefit from blockchain development.
How blockchain is revolutionising healthcare industry’s challenges of genomic...Tyrone Systems
Blockchain has the potential to revolutionize healthcare data management by providing a standardized and decentralized system for storing electronic medical records. It allows different healthcare stakeholders secure access to patient data without special software or databases. By encrypting data and only allowing access with a private key, blockchain increases security and privacy compared to traditional systems. It also gives patients more control over their own health data by allowing them to own and potentially sell their genomic data if they choose. Overall, blockchain could significantly improve how electronic health records are securely shared and stored across the healthcare industry.
This document presents the Intelligent Detecting Risk based on Privacy (IDRP) model for analyzing privacy threats in cloud computing environments. The IDRP model consists of 5 functions: 1) an information verification mechanism to validate data and service ownership; 2) a path checking mechanism using blacklists and whitelists; 3) a malicious coding detection mechanism; 4) a semantic analysis mechanism to prevent unauthorized data collection; and 5) a notice and alert mechanism to inform users of inspection results. The goal of the IDRP model is to protect mobile user privacy against increasing privacy infringement in cloud computing. Prototypes were presented for a mobile app and web-based IDRP system.
Role Of Blockchain Technology In Healthcare SectorTechugo
Blockchain makes it an easy task for the users to store and share the medical data and record, without wasting time and efforts. Explore this PPT to know more about the role of Blockchain in healthcare.
Self-learning machines can analyze big data from business & from digitized real world (IoT) rapidly and objectively in a trusted way using Blockchain than human beings (AI) to create additional value (Big Data).
Shaping the Future of Trusted Digital IdentityNoreen Whysel
May 2019 presentation by Noreen Whysel to the CARIN Technology Committee. Discusses the Identity Ecosystem Framework Registry (idefregistry.org) and proposed health data use cases for potential trusted identity API for healthcare.
Speeding up Healthcare Application with HTTP/2CitiusTech
Healthcare data is being increasingly accessed over the public internet. With the rapid adoption of EHRs and patient portals, more and more healthcare technology providers are looking at providing the same features over the internet in a SaaS model to reduce feature to market time. As they embrace trends and begin supporting new use cases such as wearables, mobile health, AI and chat bots, more data gets transferred over the same public internet infrastructure
Secondly, there is a pressing need to optimize the time healthcare professionals spend on IT per patient instead of patient care. Hence, getting timely and accurate information is of utmost importance to ensure better patient care.
Patient engagement initiatives such as patient education, medication and visit reminder, positively impact patient outcomes and are a huge success if the applications built for the same provide seamless user experience. Internet based applications rely on HTTP. As web application became more prevalent, inefficiencies of HTTP need to be addressed. HTTP/2 (Hypertext Transfer Protocol Version 2) is the update to HTTP protocol that has been built with the aim of improving performance and reducing end user perceived latency, reducing network and server resource usage.This document introduces the features and benefits of HTTP/2 and how you can start using HTTP/2
Scalable and secure sharing of personal health records in cloud computing usi...Harilal Punalur
This document proposes a framework for securely sharing personal health records (PHRs) stored in the cloud. It uses attribute-based encryption to encrypt PHRs in a way that enables fine-grained, scalable access control. The framework divides users into multiple security domains to reduce key management complexity. It ensures patient privacy and control over PHRs through multi-authority attribute-based encryption while allowing flexible sharing. The framework supports dynamic access policy changes, efficient user/attribute revocation, and break-glass emergency access.
IRJET- Blockchain Technology for Securing Healthcare RecordsIRJET Journal
Blockchain technology has the potential to revolutionize healthcare by securely storing patient health records and facilitating data sharing. The current methods of recording and sharing patient data have several shortcomings, including limiting patient access and availability of data to providers. Storing health records on a blockchain could help overcome these issues by providing a decentralized and secure system. Key benefits of using blockchain for healthcare include increased security, data integrity, interoperability between systems, and universal access to records. Potential applications include securing patient identification information, maintaining longitudinal health histories, and determining the integrity of drug supply chains. Overall, blockchain represents a novel approach that could transform the healthcare industry by addressing current challenges.
Meander Medical Center sought to improve patient care through a digital portal and mobile apps. They partnered with IBM Premier Business Partner Funatic to design a solution using IBM Digital Experience software. This included a patient portal, intranet, and mobile apps allowing patients to access records, appointments, and communicate with doctors. The growing user base and new capabilities are helping Meander enhance care coordination and expand their services digitally.
The document summarizes the Patient ID Service (PIDS) project which aims to design an open architecture for patient identity that addresses business, legal and technical requirements. Key points:
- PIDS will leverage existing work from Kantara Initiative and others to solve the problem of patient identity and authentication.
- The design will be open and flexible to allow different technical components, while focusing on existing solutions to meet near-term needs.
- The goal is to help providers meet meaningful use requirements and enable patient access and control over health information.
- An overview of the PIDS enrollment process and key technical components like an OpenID service and credentialing/token capabilities is provided.
This document discusses Xanadu, a blockchain integration system for big data, AI and IoT applications. It provides an overview of Xanadu's functionality including deduplication, replication, scalability and ACID compliance. Examples are given of how Xanadu can be used for medical image retrieval, commodity storage, cloud computing and integrating with Hadoop and deep learning. Demos show how Xanadu integrates with blockchain for applications like tracking asset ownership history and securing medical image data. The advantages of the Xanadu and blockchain integration are high throughput and additional data security.
The document summarizes plans for the Patient ID Service project. It discusses developing an open architecture using existing standards to empower patients to manage their healthcare identity and grant access to providers. It outlines technical components like an account system and OpenID/SAML capabilities. Next steps include coding sprints, implementations, certification, and engaging partners like universities to help develop and test the system.
This document describes a cloud-facilitated mobile health monitoring system called CPLM that aims to address privacy and security issues. CPLM involves four parties: a cloud server, a healthcare service provider, clients, and a semi-trusted authority. It uses techniques like outsourcing decryption and proxy re-encryption to shift computational complexity from resource-constrained clients and providers to the cloud, without compromising privacy. It also implements a "Virtual Machine Policing" approach to handle side channel attacks. The goal of CPLM is to provide privacy protections and enable widespread adoption of mobile health monitoring services.
Office 365 : Data leakage control, privacy, compliance and regulations in the...Edge Pereira
The document discusses various topics related to governance, risk management, and compliance (GRC) tools in Microsoft Office 365. It begins with an agenda that includes data loss prevention, eDiscovery, auditing, document fingerprinting, and encrypted emails. It then provides background on why organizations invest in GRC and the types of records commonly exposed in data breaches. The document goes on to explain key GRC capabilities in Office 365 like data loss prevention, eDiscovery tools, auditing features in SharePoint, and options for encrypting emails. It emphasizes the importance of controls and policies for customers to maintain compliance. Overall, the document provides an overview of GRC solutions in Office 365 and how customers can leverage built-in tools and
India'a Proposed Privacy & Personal Data Protection Law Priyanka Aash
This document summarizes key aspects of India's proposed Personal Data Protection Bill, 2019. It discusses the bill's applicability, categories of protected data, data controller obligations, rights of data subjects, provisions around children's data, and penalties. It also outlines rules for data localization and cross-border data transfers, noting sensitive personal data must stay in India unless an exception applies. The bill aims to strengthen data protection for Indian citizens and regulate how their personal information is collected and used.
Slides from my presentation at HxRefactored 2015 in Boston. This is an overview of the work I am doing as HHS Entrepreneur-in-Residence to Improve Beneficiaries' access to their health information at CMS (MyMedicare.gov). How we plan to use the HL7 FHIR protocol to build a data service that enables beneficiaries to connect their CMS health information to the applications and services that they trust.
An Effective Security Mechanism for M-Commerce Applications Exploiting Ontolo...IJERA Editor
Health organizations are beginning to move mobile commerce services in recent years to enhance services and quality without spending much investment for IT infrastructure. Medical records are very sensitive and private to any individuals. Hence effective security mechanism is required. The challenges of our research work are to maintain privacy for the users and provide smart and secure environment for accessing the application. It is achieved with the help of personalization. Internet has provided the way for personalization. Personalization is a term which refers to the delivery of information that is relevant to individual or group of individuals in the format, layout specified and in time interval. In this paper we propose an Ontology Based Access Control (OBAC) Model that can address the permitted access control among the service providers and users. Personal Health Records sharing is highly expected by the users for the acceptance in mobile commerce applications in health care systems.
This document discusses using blockchain technology to improve electronic health records (EHRs) by giving patients more control over their medical data. It proposes a system where each patient's health records are stored in an immutable blockchain that is distributed across multiple healthcare organizations. This would allow patients to access their full medical history from any doctor and reduce errors, while maintaining privacy and security. The key benefits are providing complete and accurate health data to doctors, enabling fast access to records, and securely sharing information between healthcare providers and patients. Blocks of health record transactions are time-stamped and linked using cryptography to form an auditable chain that cannot be altered without detection.
How blockchain technology works in healthcare industryStacey Roberts
Blockchain an immense technology of a modern digital world now brings up a huge revolution by revamping the most complex industry healthcare industry. The arrival of blockchain in health care will prevent data breaches and will let the industry more inter-operable
The document provides an overview of ethics, legislation, and privacy issues related to big data. It discusses the necessity of regulating big data and the differences between privacy and data protection. It also provides details on the General Data Protection Regulation (GDPR), including its goals, requirements for companies, and individual rights it aims to protect.
MIDATA.COOP is a citizen-controlled personal data cooperative that aims to give individuals control over their personal data and return the value of personal data to individuals. It is developing a prototype platform that allows individuals to access, manage and share their personal data, like health data, under their control. The platform uses encryption to store personal data securely without references to owners and allows individuals to selectively share their data with friends and researchers. MIDATA.COOP sees cooperatives as the ideal structure for empowering individuals with control over their personal data.
Webinar: Managing Access to Personal Data: Protecting "Personal Clouds" with UMA and OpenID Connect You can't spell human without UMA... The User-Managed Access (UMA) protocol was created to help individuals gain control over data sharing -- with software applications, with family and friends, with online retailers, and even with doctors and employers.
This document presents the Intelligent Detecting Risk based on Privacy (IDRP) model for analyzing privacy threats in cloud computing environments. The IDRP model consists of 5 functions: 1) an information verification mechanism to validate data and service ownership; 2) a path checking mechanism using blacklists and whitelists; 3) a malicious coding detection mechanism; 4) a semantic analysis mechanism to prevent unauthorized data collection; and 5) a notice and alert mechanism to inform users of inspection results. The goal of the IDRP model is to protect mobile user privacy against increasing privacy infringement in cloud computing. Prototypes were presented for a mobile app and web-based IDRP system.
Role Of Blockchain Technology In Healthcare SectorTechugo
Blockchain makes it an easy task for the users to store and share the medical data and record, without wasting time and efforts. Explore this PPT to know more about the role of Blockchain in healthcare.
Self-learning machines can analyze big data from business & from digitized real world (IoT) rapidly and objectively in a trusted way using Blockchain than human beings (AI) to create additional value (Big Data).
Shaping the Future of Trusted Digital IdentityNoreen Whysel
May 2019 presentation by Noreen Whysel to the CARIN Technology Committee. Discusses the Identity Ecosystem Framework Registry (idefregistry.org) and proposed health data use cases for potential trusted identity API for healthcare.
Speeding up Healthcare Application with HTTP/2CitiusTech
Healthcare data is being increasingly accessed over the public internet. With the rapid adoption of EHRs and patient portals, more and more healthcare technology providers are looking at providing the same features over the internet in a SaaS model to reduce feature to market time. As they embrace trends and begin supporting new use cases such as wearables, mobile health, AI and chat bots, more data gets transferred over the same public internet infrastructure
Secondly, there is a pressing need to optimize the time healthcare professionals spend on IT per patient instead of patient care. Hence, getting timely and accurate information is of utmost importance to ensure better patient care.
Patient engagement initiatives such as patient education, medication and visit reminder, positively impact patient outcomes and are a huge success if the applications built for the same provide seamless user experience. Internet based applications rely on HTTP. As web application became more prevalent, inefficiencies of HTTP need to be addressed. HTTP/2 (Hypertext Transfer Protocol Version 2) is the update to HTTP protocol that has been built with the aim of improving performance and reducing end user perceived latency, reducing network and server resource usage.This document introduces the features and benefits of HTTP/2 and how you can start using HTTP/2
Scalable and secure sharing of personal health records in cloud computing usi...Harilal Punalur
This document proposes a framework for securely sharing personal health records (PHRs) stored in the cloud. It uses attribute-based encryption to encrypt PHRs in a way that enables fine-grained, scalable access control. The framework divides users into multiple security domains to reduce key management complexity. It ensures patient privacy and control over PHRs through multi-authority attribute-based encryption while allowing flexible sharing. The framework supports dynamic access policy changes, efficient user/attribute revocation, and break-glass emergency access.
IRJET- Blockchain Technology for Securing Healthcare RecordsIRJET Journal
Blockchain technology has the potential to revolutionize healthcare by securely storing patient health records and facilitating data sharing. The current methods of recording and sharing patient data have several shortcomings, including limiting patient access and availability of data to providers. Storing health records on a blockchain could help overcome these issues by providing a decentralized and secure system. Key benefits of using blockchain for healthcare include increased security, data integrity, interoperability between systems, and universal access to records. Potential applications include securing patient identification information, maintaining longitudinal health histories, and determining the integrity of drug supply chains. Overall, blockchain represents a novel approach that could transform the healthcare industry by addressing current challenges.
Meander Medical Center sought to improve patient care through a digital portal and mobile apps. They partnered with IBM Premier Business Partner Funatic to design a solution using IBM Digital Experience software. This included a patient portal, intranet, and mobile apps allowing patients to access records, appointments, and communicate with doctors. The growing user base and new capabilities are helping Meander enhance care coordination and expand their services digitally.
The document summarizes the Patient ID Service (PIDS) project which aims to design an open architecture for patient identity that addresses business, legal and technical requirements. Key points:
- PIDS will leverage existing work from Kantara Initiative and others to solve the problem of patient identity and authentication.
- The design will be open and flexible to allow different technical components, while focusing on existing solutions to meet near-term needs.
- The goal is to help providers meet meaningful use requirements and enable patient access and control over health information.
- An overview of the PIDS enrollment process and key technical components like an OpenID service and credentialing/token capabilities is provided.
This document discusses Xanadu, a blockchain integration system for big data, AI and IoT applications. It provides an overview of Xanadu's functionality including deduplication, replication, scalability and ACID compliance. Examples are given of how Xanadu can be used for medical image retrieval, commodity storage, cloud computing and integrating with Hadoop and deep learning. Demos show how Xanadu integrates with blockchain for applications like tracking asset ownership history and securing medical image data. The advantages of the Xanadu and blockchain integration are high throughput and additional data security.
The document summarizes plans for the Patient ID Service project. It discusses developing an open architecture using existing standards to empower patients to manage their healthcare identity and grant access to providers. It outlines technical components like an account system and OpenID/SAML capabilities. Next steps include coding sprints, implementations, certification, and engaging partners like universities to help develop and test the system.
This document describes a cloud-facilitated mobile health monitoring system called CPLM that aims to address privacy and security issues. CPLM involves four parties: a cloud server, a healthcare service provider, clients, and a semi-trusted authority. It uses techniques like outsourcing decryption and proxy re-encryption to shift computational complexity from resource-constrained clients and providers to the cloud, without compromising privacy. It also implements a "Virtual Machine Policing" approach to handle side channel attacks. The goal of CPLM is to provide privacy protections and enable widespread adoption of mobile health monitoring services.
Office 365 : Data leakage control, privacy, compliance and regulations in the...Edge Pereira
The document discusses various topics related to governance, risk management, and compliance (GRC) tools in Microsoft Office 365. It begins with an agenda that includes data loss prevention, eDiscovery, auditing, document fingerprinting, and encrypted emails. It then provides background on why organizations invest in GRC and the types of records commonly exposed in data breaches. The document goes on to explain key GRC capabilities in Office 365 like data loss prevention, eDiscovery tools, auditing features in SharePoint, and options for encrypting emails. It emphasizes the importance of controls and policies for customers to maintain compliance. Overall, the document provides an overview of GRC solutions in Office 365 and how customers can leverage built-in tools and
India'a Proposed Privacy & Personal Data Protection Law Priyanka Aash
This document summarizes key aspects of India's proposed Personal Data Protection Bill, 2019. It discusses the bill's applicability, categories of protected data, data controller obligations, rights of data subjects, provisions around children's data, and penalties. It also outlines rules for data localization and cross-border data transfers, noting sensitive personal data must stay in India unless an exception applies. The bill aims to strengthen data protection for Indian citizens and regulate how their personal information is collected and used.
Slides from my presentation at HxRefactored 2015 in Boston. This is an overview of the work I am doing as HHS Entrepreneur-in-Residence to Improve Beneficiaries' access to their health information at CMS (MyMedicare.gov). How we plan to use the HL7 FHIR protocol to build a data service that enables beneficiaries to connect their CMS health information to the applications and services that they trust.
An Effective Security Mechanism for M-Commerce Applications Exploiting Ontolo...IJERA Editor
Health organizations are beginning to move mobile commerce services in recent years to enhance services and quality without spending much investment for IT infrastructure. Medical records are very sensitive and private to any individuals. Hence effective security mechanism is required. The challenges of our research work are to maintain privacy for the users and provide smart and secure environment for accessing the application. It is achieved with the help of personalization. Internet has provided the way for personalization. Personalization is a term which refers to the delivery of information that is relevant to individual or group of individuals in the format, layout specified and in time interval. In this paper we propose an Ontology Based Access Control (OBAC) Model that can address the permitted access control among the service providers and users. Personal Health Records sharing is highly expected by the users for the acceptance in mobile commerce applications in health care systems.
This document discusses using blockchain technology to improve electronic health records (EHRs) by giving patients more control over their medical data. It proposes a system where each patient's health records are stored in an immutable blockchain that is distributed across multiple healthcare organizations. This would allow patients to access their full medical history from any doctor and reduce errors, while maintaining privacy and security. The key benefits are providing complete and accurate health data to doctors, enabling fast access to records, and securely sharing information between healthcare providers and patients. Blocks of health record transactions are time-stamped and linked using cryptography to form an auditable chain that cannot be altered without detection.
How blockchain technology works in healthcare industryStacey Roberts
Blockchain an immense technology of a modern digital world now brings up a huge revolution by revamping the most complex industry healthcare industry. The arrival of blockchain in health care will prevent data breaches and will let the industry more inter-operable
The document provides an overview of ethics, legislation, and privacy issues related to big data. It discusses the necessity of regulating big data and the differences between privacy and data protection. It also provides details on the General Data Protection Regulation (GDPR), including its goals, requirements for companies, and individual rights it aims to protect.
MIDATA.COOP is a citizen-controlled personal data cooperative that aims to give individuals control over their personal data and return the value of personal data to individuals. It is developing a prototype platform that allows individuals to access, manage and share their personal data, like health data, under their control. The platform uses encryption to store personal data securely without references to owners and allows individuals to selectively share their data with friends and researchers. MIDATA.COOP sees cooperatives as the ideal structure for empowering individuals with control over their personal data.
Webinar: Managing Access to Personal Data: Protecting "Personal Clouds" with UMA and OpenID Connect You can't spell human without UMA... The User-Managed Access (UMA) protocol was created to help individuals gain control over data sharing -- with software applications, with family and friends, with online retailers, and even with doctors and employers.
IoT & Big Data - A privacy-oriented view of the futureFacundo Mauricio
Understanding the future based on the current technology, with a focus on Big Data and Internet of Things (IoT). A discussion of privacy and personal information and how it affects us.
This document discusses issues around privacy and socioeconomics in the future internet. It notes that while internet companies and some experts argue privacy is dead, privacy breaches can be costly and erode trust. The document outlines tools like "layered defense," "privacy by design," and "the accountability project" to help privacy coexist with economic gains. It examines case studies in identity management and eHealth and outlines possible areas for future research around demonstrable supply chain resilience, user-centric cloud services, and automation that builds in privacy by default.
Presentation on citizen-consumer permission-based data sharing, the four challenge areas in data innovation and the Personal Data & Trust program by Dr Matt Stroud, Head of Personal Data and Trust at Digital Catapult Centre. Presented at the Data-sharing Discovery Day on 26 January in London.
This document discusses various applications of big data across different domains. It begins by defining big data and its key characteristics of volume, variety and velocity. It then discusses how big data is being used in social media for recommendation systems, marketing, electioneering and influence analysis. Applications in healthcare discussed include personalized medicine, clinical trials, electronic health records, and genomics. Uses of big data in smart cities are also summarized, such as for smart transport, traffic management, smart energy, and smart governance. Specific examples and case studies are provided to illustrate the benefits and savings achieved from leveraging big data across these various sectors.
Narrative is a small wearable camera that takes a picture every 30 seconds to automatically create a searchable photographic memory for users. The pictures are stored in the cloud and organized into daily activities of 20-30 pictures each that can be tagged and shared on social media. By saving data like GPS and camera direction for each picture, Narrative aims to provide additional services by managing the large amounts of lifelogging data it captures. It focuses on trends like quantified self-tracking, lifelogging, big data management, and online moment sharing.
Anonos FTC Comment Letter Big Data: A Tool for Inclusion or ExclusionTed Myerson
FTC Comment Letter Big Data: A Tool for Inclusion or Exclusion. Filed on August 21, 2014.
Anonos has been working for over two years on technology that transforms data at the data element level enabling de-identification and functional obscurity that preserves the value of underlying data. Specifically, Anonos de-identification and functional obscurity risk management tools help to enable data subjects to share information in a controlled manner, enabling them to receive information and offerings truly personalized for them, while protecting misuse of their data; and to facilitate improved healthcare, medical research and personalized medicine by enabling aggregation of patient level data without revealing the identity of patients.
The top trends changing the landscape of Information ManagementVelrada
The role of information and data in the private sector, and how employees and users interact with that information, is changing rapidly.
With endless buzzwords and hot topics, and a ream of new technologies and upgrades, it can be difficult for organisations to know where to begin or how it translates into actionable insight.
Slides from IoT14. In the manner of fantasy football we gave Matt Hatton, founder and analyst at Machina Research, an imaginary £250K and asked him where in the IoT he would invest it. Here are the slides of his answer.
With the new interconnected age comes new risks for cyber attacks and other fraudulent activity. Do you know what you need to keep your end users protected? Digital Insight discusses security and compliance in the interconnected age.
digital identity 2.0: how technology is transforming behaviours and raising c...Patrick McCormick
The document discusses how digital technologies are transforming behaviors and raising citizen expectations of government services. It notes that Australians now spend significant time online and use various digital services. This has led to changing expectations where citizens want essential, discretionary, and participatory services from government. The document argues that governments need to adopt a more open, collaborative and user-centered approach to meet these rising expectations, including through the use of social media, open data, and new digital identity systems that give citizens more control over their personal information.
Anonos NTIA Comment Letter letter on ''Big Data'' Developments and How They I...Ted Myerson
Read our NTIA comment letter on ''Big Data'' Developments and How They Impact the Consumer Privacy Bill of Rights. Filed with the NTIA on August 5, 2014.
Anonos has been working for over two years on technology that transforms data at the data element level enabling de-identification and functional obscurity that preserves the value of underlying data. Specifically, Anonos de-identification and functional obscurity risk management tools help to enable data subjects to share information in a controlled manner, enabling them to receive information and offerings truly personalized for them, while protecting misuse of their data; and to facilitate improved healthcare, medical research and personalized medicine by enabling aggregation of patient level data without revealing the identity of patients.
Pli workplace privacy in the year 2013 2013-6-13mkeane
Addresses privacy issues associated with hiring in a social media world, privacy issues associated with BYOD programs; employee privacy rights associated with off-duty activity including Facebook postings and activity protected by lifestyle laws.
The Crisis of Self Sovereignty in The Age of Surveillance CapitalismJongseung Kim
Surveillance capitalism is a new economic system that claims human experience as free raw material for hidden commercial practices of extraction, prediction, and sales. It relies on accumulating behavioral surplus data from users and using machine learning to generate prediction products that are sold to businesses. This allows firms like Google to convert behavioral surplus directly into revenue. The amount of surplus accumulated affects the accuracy of predictions, driving firms to amass ever greater stores of behavioral data for continued profits in behavioral futures markets.
Building Trust in a Tense Information Society, Daniel Weitzner, Director, MIT...MIT Startup Exchange
Building Trust in a Tense Information Society, Daniel Weitzner, Director, MIT CSAIL Decentralized Information Group. Keynote held at MIT Startup Exchange (STEX) Cybersecurity Innovation workshop (5/28) at MIT on Thursday May 28, 2015, 8:30 AM to 11:30 AM, at One Main Street, Cambridge, MA, USA.
The document discusses challenges with information sharing across health and social care systems in the UK, including different data formats, lack of integration, and lack of trust. It describes a project by Symphonic Software to deliver a governance layer for the London Digital Programme, which aims to allow the 7,000 organizations involved in patient care in London to access patient records while meeting data controller agreements and patient consent preferences. The governance layer will provide policy translation, identity management, and automated generation of information sharing policies to improve integrated care.
Similar to User-Access Manager: Key to Life Management Platform (20)
HijackLoader Evolution: Interactive Process HollowingDonato Onofri
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Ready to Unlock the Power of Blockchain!Toptal Tech
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
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4. Personal Data is the Life Blood of
the Information Age
3
What is Personal Data…
5. Personal Data is the Life Blood of
the Information Age
3
Personal Data is the New “Oil of
the Internet”
What is Personal Data…
6. Personal Data is the Life Blood of
the Information Age
3
Personal Data is the New “Oil of
the Internet”
Personal Data is the new currency
What is Personal Data…
7. Personal Data and new forms of
economic and social value
4
Big Data
Explosive growth
of Personal
Data
New forms
of economic
and social
value
Quantity and quality
Mobile
Computing
Social
Networking
Internet of
THINGS
8. How to measure the value of
Personal Data
•Market capitalization
•Revenue per record/user
•Market Price
•Cost of data breach
•Pay to protect
5
Streat address
Data of Birth
Social Number
Military record
0 10 20 30 40
Source: OECD (2013),“Exploring the Economics of Personal Data:A Survey of Methodologies for Measuring MonetaryValue”
$112 per user record
USD 1.7 per record
Data breach cost $171M
USD
9. Externalities: Socio-economic
impact
•Personal data to avoid duplicative testing/
misdiagnosis, etc., in healthcare.
6
Electronic Health Record
Financial BenefitsPatientValue SocialValue
Improved treatment Reduced Cost research into new drugs,
improved medical protocols
Source: OECD (2013),“Exploring the Economics of Personal Data:A Survey of Methodologies for Measuring MonetaryValue”
10. Risks about Personal Data
7
Individual Organization
“72% of European citizens are concerned that their personal data may be misused…”
Individuals have little visibility into the practices of the organizations they are putting
their trust in – until their data is breached or misused.
EU commission survey 2012
Risks: Loss of Trust
Personal Data
…t e n s i o n…
11. Challenges to mitigate Risks
• Protection and Security
‣ New approaches for decentralized and distributed network environment.
• Accountability
‣ Who has data about you? Where is the data about you located?
• Right and Responsibility for using personal data
‣ New approaches that help individuals understand how and when data is
collected.
‣ How the data is being used and the implications of these actions.
‣ Empower individual more effectively and efficiently.
‣ Context aware.
8
Source:World Economic Forum 2013 Report: Unlocking theValue of Personal Data: From Collection to Usage
12. Personal Data Ecosystem
Emerging Trends: Data Lockers
9
Personal
Data Store
Personal Clouds
Life Management Platforms
Native Data Store
App App
Informed
Pull
Controlled
Push
14. Life Management Platforms
•The concept of Life Management Platforms
(LMPs) was introduced in 2012 by Kuppinger-
Cole.
10
15. Life Management Platforms
•The concept of Life Management Platforms
(LMPs) was introduced in 2012 by Kuppinger-
Cole.
•LMP allows individual to consolidate all relevant
data from life, e.g. bank account information,
insurance information, health information, etc.
10
16. Life Management Platforms
•The concept of Life Management Platforms
(LMPs) was introduced in 2012 by Kuppinger-
Cole.
•LMP allows individual to consolidate all relevant
data from life, e.g. bank account information,
insurance information, health information, etc.
•The platform concept provides the tools to
manage the essential information of every
person’s life and making it usable for other
parties.
10
17. Life Management Platform: Key
features
11
AccessLMP
Requesting
Party
Data
Stores
Data
Control
Informed Pull
Controlled Push
Data Sharing
Policy
Individual
ControlBank
healthcare
Home
Car
18. Life Management Platform: Key
features
11
AccessLMP
Requesting
Party
Data
Stores
Data
Control
Informed Pull
Controlled Push
Data Sharing
Policy
Individual
ControlBank
healthcare
Home
Car
Secure Store
of Information
19. Life Management Platform: Key
features
11
AccessLMP
Requesting
Party
Data
Stores
Data
Control
Informed Pull
Controlled Push
Data Sharing
Policy
Individual
ControlBank
healthcare
Home
Car
Secure Store
of Information
Information control
remains with
Individual
20. Life Management Platform: Key
features
11
AccessLMP
Requesting
Party
Data
Stores
Data
Control
Informed Pull
Controlled Push
Data Sharing
Policy
Individual
ControlBank
healthcare
Home
Car
Secure Store
of Information
Information control
remains with
Individual
Granular Access Control
for Data
21. Life Management Platform: Key
features
11
AccessLMP
Requesting
Party
Data
Stores
Data
Control
Informed Pull
Controlled Push
Data Sharing
Policy
Individual
ControlBank
healthcare
Home
Car
Secure Store
of Information
Advanced
Data Sharing
Models
Information control
remains with
Individual
Granular Access Control
for Data
22. User-Managed Access (UMA)
UMA defines how an individual can control
protected-resource access by clients operated by
arbitrary requesting parties, where the resources
reside on any number of resource servers, and
where a centralized authorization server governs
access based on individual policy.
12
23. tinyurl.com/umawg
UMA is...
• A web protocol that lets you control access by anyone to
all your online stuff from one place
• A set of draft specifications, free for anyone to implement
• Undergoing multiple implementation efforts
• A Work Group of the Kantara Initiative, free for anyone to
join and contribute to
• Simple, OAuth-based, identifier-agnostic, RESTful, modular,
generative, and developed rapidly
• Contributed to the IETF for consideration:
draft-hardjono-oauth-umacore
• Currently undergoing interop testing and increased
OpenID Connect integration
13
25. User-Managed Access for LMP
15
AccessLMP
Requesting
Party
Data
Stores
Data
Control
Informed Pull
Controlled Push
Data Sharing
Policy
Individual
ControlBank
healthcare
Home
Car
27. User-Managed Access for LMP
15
LMP Requesting
Party
Data
Stores
Bank
healthcare
Home
Car
Resource
Owner
Client
UMA AS
28. User-Managed Access for LMP
15
LMP Requesting
Party
Data
Stores
Bank
healthcare
Home
Car
Resource
Owner
Client
manage
control
protect UMA AS
29. User-Managed Access for LMP
15
LMP Requesting
Party
Data
Stores
Bank
healthcare
Home
Car
Resource
Owner
Client
manage
consentcontrol
protect negotiate
manage
UMA AS
30. User-Managed Access for LMP
15
LMP Requesting
Party
Data
Stores
Bank
healthcare
Home
Car
Resource
Owner
Client
manage
consentcontrol
protect
authorize
negotiate
manage
access
UMA AS
31. UMA for LMP Use Cases
•Personal Loan (Informed Pull)
•CV Sharing (Controlled Push)
16
32. UMA for LMP Use Case:
Informed Pull
•An Individual issues a request for information (RFI) to
a group of financial services to obtain the best offer
for a personal loan.
•Life Connections represent the Individual’s Personal
Information requested (i.e Bank Account and Credit
Score), for issuing the RFI, protected by UMA AS.
•LMP provides the Apps for typical Life events (i.e.
Personal Loan Request).
17
33. Informed Pull Model
18
LMP Financial
Service
Bank
Credit Score
!
Request for Information
!
Authorize/Access
!
Offer
!
UMA-Enabled
Loan
App
34. Life Connections Request
www.uma4lmp.com/am/informed_pull
Life Management Platform
Life ApplicationsRequest for Information
UMA4LMP: Informed Pull
19
Home
Bank
Healthcare
Car
Credit Score
Loan
Application
healthcare
Insurance
Drag request template here
36. Life Connections Request
www.uma4lmp.com/am/informed_pull
Life Management Platform
Life ApplicationsRequest for Information
UMA4LMP: Informed Pull
19
Home
Bank
Healthcare
Car
Credit Score
healthcare
Insurance
+ +
Bank Account Credit Score
Personal Information
Request Info
Loan amount:
Period:
Data sharing Policy
Claim-based authorization
Validity:
Cancel Run NowSave as Template
Data Purpose:
/ /
Requesting Party Marketing related use
Only for this request
37. Life Connections Request
www.uma4lmp.com/am/informed_pull
Life Management Platform
Life ApplicationsRequest for Information
UMA4LMP: Informed Pull
19
Home
Bank
Healthcare
Car
Credit Score
healthcare
Insurance
+ +
Bank Account Credit Score
Personal Information
Request Info
Loan amount:
Period:
Data sharing Policy
Claim-based authorization
Validity:
OnlineBank.com
Shareable Bank Account
Privacy impact: Medium
Data Access: Read
View Data
Cancel Run NowSave as Template
Data Purpose:
/ /
Requesting Party Marketing related use
Only for this request
38. Life Connections Request
www.uma4lmp.com/am/informed_pull
Life Management Platform
Life ApplicationsRequest for Information
UMA4LMP: Informed Pull
19
Home
Bank
Healthcare
Car
Credit Score
healthcare
Insurance
+ +
Bank Account Credit Score
Personal Information
Request Info
Loan amount:
Period:
Data sharing Policy
Claim-based authorization
Validity:
Cancel Run NowSave as Template
Data Purpose:
/ /
Requesting Party Marketing related use
Only for this request
39. Life Connections Request
www.uma4lmp.com/am/informed_pull
Life Management Platform
Life ApplicationsRequest for Information
UMA4LMP: Informed Pull
19
Home
Bank
Healthcare
Car
Credit Score
healthcare
Insurance
+ +
Bank Account Credit Score
Personal Information
Request Info
Loan amount:
Period:
Data sharing Policy
Claim-based authorization
Validity:
Cancel Run NowSave as Template
Data Purpose:
/ /
Requesting Party Marketing related use
Only for this request
40. Life Connections Request
www.uma4lmp.com/am/informed_pull
Life Management Platform
Life ApplicationsRequest for Information
UMA4LMP: Informed Pull
19
Home
Bank
Healthcare
Car
Credit Score
healthcare
Insurance
+ +
Bank Account Credit Score
Personal Information
Request Info
Loan amount:
Period:
Data sharing Policy
Claim-based authorization
Validity:
10000
24
Cancel Run NowSave as Template
Data Purpose:
/ /
Requesting Party Marketing related use
Only for this request
43. UMA for LMP Use Case:
Controlled Push
•A student interacts with online job
application system.
•Student shares their exam marks, certificates
references, etc.
•Data is stored at their various Higher
Education institution.
•Employers can ask for additional information
to be provided during the application
process.
21
49. Why UMA
•UMA provides a new approach to protect personal
information in a decentralized and distributed network.
•UMA provides a new way to create a trust
relationship in a distributed environment.
•UMA provides a new way to control of what is
happening to personal data.
•UMA provides a new way to help individuals
understand how personal data is used.
27
50. Benefits of UMA applied to LMP
28
Authorize
Client Resource
Server
Authorization
Server
Protect
Access
(on behalf of
Requesting Party)
Resource
Owner
Protection and Security Accountability
Right and Responsibility
for using personal data
51. Benefits of UMA applied to LMP
28
Authorize
Client Resource
Server
Authorization
Server
Protect
Access
(on behalf of
Requesting Party)
Resource
Owner
Individual protects the
distributed resource which is
collecting the personal data
with a centralized Authorization
Server.
Protection and Security Accountability
Right and Responsibility
for using personal data
52. Benefits of UMA applied to LMP
28
Authorize
Client Resource
Server
Authorization
Server
Protect
Access
(on behalf of
Requesting Party)
Resource
Owner
Individual is active part of defining
the how the personal information
will be handled in the data sharing
process (Controlled Push or
Informed Pull).
Individual protects the
distributed resource which is
collecting the personal data
with a centralized Authorization
Server.
Protection and Security Accountability
Right and Responsibility
for using personal data
53. Benefits of UMA applied to LMP
28
Authorize
Client Resource
Server
Authorization
Server
Protect
Access
(on behalf of
Requesting Party)
Resource
Owner
Individual is active part of defining
the how the personal information
will be handled in the data sharing
process (Controlled Push or
Informed Pull).
Individual is able to define
sharing policy for what
purposes the personal data is
shared (or collected)
Individual protects the
distributed resource which is
collecting the personal data
with a centralized Authorization
Server.
Protection and Security Accountability
Right and Responsibility
for using personal data
54. Benefits of UMA applied to LMP
28
Authorize
Client Resource
Server
Authorization
Server
Protect
Access
(on behalf of
Requesting Party)
Resource
Owner
Individual is active part of defining
the how the personal information
will be handled in the data sharing
process (Controlled Push or
Informed Pull).
Individual is able to define
sharing policy for what
purposes the personal data is
shared (or collected)
Individual protects the
distributed resource which is
collecting the personal data
with a centralized Authorization
Server.
Protection and Security Accountability
Right and Responsibility
for using personal data
Individual can selectively
share personal data with
Requesting Party through a
Claim-based authorization
system
55. Benefits of UMA applied to LMP
28
Authorize
Client Resource
Server
Authorization
Server
Protect
Access
(on behalf of
Requesting Party)
Resource
Owner
Individual is active part of defining
the how the personal information
will be handled in the data sharing
process (Controlled Push or
Informed Pull).
Individual is able to define
sharing policy for what
purposes the personal data is
shared (or collected)
Policy Enforcement Point at Resource
Server allows to intercept any request to
access to personal data
Individual protects the
distributed resource which is
collecting the personal data
with a centralized Authorization
Server.
Protection and Security Accountability
Right and Responsibility
for using personal data
Individual can selectively
share personal data with
Requesting Party through a
Claim-based authorization
system
57. 30
Eve L. Maler
UMA WG Chair
emaler@forrester.com
!
Thomas Hardjono
UMA WG Specification Editor
hardjono@mit.edu
!
Members of the UMA WG
ThankYou /Acknowledgement