National DigiFoundry

Secure Information Sharing Working Group

Businesses, governments, and every individual depend on data. While information access and sharing are part of our everyday lives, very few treat it as an essential digital asset. The rise of identity theft, ransomware attacks, electronic fraud, and e-commerce theft proves the fallacy of this attitude. The secure information-sharing workgroup will explore how blockchain can improve information-sharing security.
Play Video

The Secure Information Working Group will increase awareness and understanding of how Web3 solutions and services can improve poor information orchestration among an ecosystem’s constituents.

In Cycle 1, the workgroup will design a comprehensive, industry-leading document and presentation outlining each of the key components required to successfully orchestrate Secure Information Sharing using Web3 and complementary solutions and services. This work will support the development of best practices on how blockchain can improve information-sharing security through Web3 technology by using Secure Information Sharing System design guides for industry and business process-specific use cases. The planned work product is a user-validated version of a v1 Secure Information Sharing System design guide.

Distributed autonomous organizations (DAOs), digital ledger technology (DLT), and artificial intelligence (AI) can be powerful tools for secure information sharing, especially in contexts where privacy, integrity, and trust are paramount. Use cases include:

Decentralized Access Control with DAOs: DAOs can manage access control to sensitive information by decentralizing decision-making about who can access what data. Smart contracts can be used to enforce access policies and permissions, ensuring that only authorized individuals or entities can view or modify specific information. DAOs can also facilitate the creation of audit trails to track data access and usage, enhancing transparency and accountability.

Blockchain-Based Data Encryption and Integrity Verification: Digital ledger technology such as blockchain can be leveraged to store encrypted data and verify its integrity. Data can be encrypted before being stored on the blockchain, ensuring that only authorized parties with the corresponding keys can decrypt and access the information. By timestamping and hashing data on the blockchain, users can verify its authenticity and integrity, detecting any unauthorized changes or tampering attempts.

AI-Powered Threat Detection and Anomaly Detection: AI algorithms can analyze patterns and behaviors in data to detect potential security threats and anomalies. For instance, machine learning models can be trained to recognize suspicious access patterns or unusual data transfer activities that may indicate a security breach. By continuously monitoring data streams and user behaviors, AI can help identify and respond to security incidents in real-time, minimizing the impact of potential breaches.

Secure Multiparty Computation (MPC) with DLT: Secure multiparty computation allows multiple parties to jointly compute a function over their inputs without revealing their private data to each other. DLT can provide a decentralized and tamper-proof infrastructure for implementing MPC protocols, enabling secure collaboration and information sharing among parties with conflicting interests or privacy concerns. MPC can be used in various applications, including collaborative data analysis, privacy-preserving machine learning, and secure voting systems.

Blockchain-Based Identity and Access Management: Blockchain technology can serve as the foundation for decentralized identity and access management systems. By storing identity information and access credentials on the blockchain, users can maintain control over their digital identities and selectively share their personal data with trusted parties. Blockchain-based identity solutions can enhance security and privacy by reducing the reliance on centralized identity providers and minimizing the risk of identity theft and fraud.

By combining distributed autonomous organizations, digital ledger technology, and artificial intelligence, organizations can establish robust and secure mechanisms for sharing sensitive information while preserving privacy, integrity, and trust. These technologies provide a decentralized and transparent framework for managing access, detecting threats, and protecting data in an increasingly interconnected and data-driven world.

We will deliver comprehensive, industry-leading documents and presentations outlining the critical components required to successfully orchestrate Secure Information Sharing using Web3 and complementary solutions & services.

This working group will develop best practices on how digital ledger technology can improve information-sharing security using Web3 technology and techniques.

This working group will produce Secure Information Sharing System design guides for industry and business process-specific use cases.

The Secure Information Sharing Working Group meets on the first Wednesday of every month at 1p E/10a P. For more information on this working group, please email
Send $NDT 2,500 to DAG0BQvYniQHWfWVcySVnduitKEWzFCnLaiqUusw