Data Minimisation is a principle dictating that only the absolute minimum amount of personal data necessary for a specific purpose should be collected, processed, and stored. This concept aims to enhance privacy and reduce the risk associated with data breaches or misuse. In the context of digital assets and blockchain, it involves designing systems to operate with the least possible exposure of user information. Adherence to this principle helps to build trust and meet regulatory compliance requirements, such as those found in global data protection laws.
Context
The key discussion surrounding Data Minimisation in the crypto space involves balancing transparency on public ledgers with individual privacy rights. Many blockchain applications are exploring zero-knowledge proofs and other privacy-enhancing technologies to implement this principle effectively. A critical future development is the widespread adoption of these advanced cryptographic methods to ensure user data remains protected while still enabling necessary verification and functionality within decentralized systems.
This research demonstrates how zero-knowledge proofs can resolve the inherent tension between digital identity verifiability and data minimisation, enabling privacy-preserving attribute attestations.
We use cookies to personalize content and marketing, and to analyze our traffic. This helps us maintain the quality of our free resources. manage your preferences below.
Detailed Cookie Preferences
This helps support our free resources through personalized marketing efforts and promotions.
Analytics cookies help us understand how visitors interact with our website, improving user experience and website performance.
Personalization cookies enable us to customize the content and features of our site based on your interactions, offering a more tailored experience.
