PRIVACY-PRESERVING MOBILITY AS A SERVICE SUPPORTED BY BLOCKCHAIN

Smart overview of the Invention

A communication network node is designed to manage user data effectively by distinguishing between sensitive and non-sensitive information. The circuitry within this node facilitates the separation of user data types, ensuring that only non-sensitive data is transmitted to a distributed ledger. This approach aims to enhance privacy while still leveraging the benefits of distributed ledger technology.

Understanding Distributed Ledgers and Mobility as a Service

Distributed ledgers, often associated with blockchain technology, are utilized to record digital transactions across multiple nodes. These ledgers can support various applications, including Mobility as a Service (MaaS), where users access transportation services without owning vehicles. MaaS integrates both public and private transportation options, enabling seamless travel experiences through a unified booking system.

Challenges in Data Privacy

While distributed ledgers provide transparency and immutability, they also pose significant challenges regarding personal data protection. Personal information related to passenger journeys can be sensitive, raising concerns about privacy. The need to record journey details while safeguarding user privacy often conflicts, necessitating innovative solutions for data management.

Proposed Solutions for Data Protection

The disclosed system incorporates methods for anonymizing and pseudonymizing user data. By ensuring that sensitive information remains inaccessible to third parties while allowing necessary data sharing among service providers, the system enhances privacy. User profiles are protected through access controls, and specific identifiers are anonymized within the distributed ledger.

Terminology and Mechanisms in Distributed Ledger Technology

A distributed ledger is defined as a consensus of replicated digital data spread across multiple locations without a central administrator. Various consensus mechanisms ensure data consistency across nodes, with examples including proof-of-work. These technologies enable secure transaction recording while maintaining the integrity of the shared database, making them suitable for applications like MaaS.