Authored by Kaitai Liang and Dazhuang Liu, Delft University of Technology, Delft, the
Netherlands, 27 th March 2024

Distributed Privacy-preserving Data Management and Storage system in Tango provides a
comprehensive privacy-preserving support for the work conducted within the TANGO project.
This work package focuses on developing components that ensure secure and privacy-
preserving data management and storage within the TANGO architecture.

1. overview of this work package:
There are five components within WP3, the brief summary of each component can be seen as
follows:

(1) Blockchain-based Data Storage and Sharing: This component emphasizes leveraging
blockchain technology for secure and transparent data storage and sharing. It explores
the integration of blockchain into the TANGO architecture to enhance data integrity and
traceability.

(2) Trustworthy Data Sharing: This component focuses on ensuring trustworthy data
sharing through mechanisms such as usage control, privacy risk scoring, trustworthiness
scoring, and Ubiquitous Personal Context Vectors (UPCVs).

(3) Confidentiality and Privacy by Design: This component highlights the importance of
incorporating confidentiality and privacy by design principles into data management
processes. It addresses current developments in ensuring data confidentiality and
privacy.

(4) Self-encryption and Decryption Techniques: This component explores self-encryption
and decryption techniques with multi-factor information recovery mechanisms to
enhance data security and privacy.

(5) Recommendations for Secure and Privacy-preserving Data Storage and Sharing: This
component provides recommendations for secure and privacy-preserving data storage
and sharing, outlining the purpose, scope, and structure of these recommendations.
The work package also discusses the interrelation among these components, their placement in
the TANGO architecture, and their alignment with the project's objectives. It further delves into
the provisions of the Data Governance Act and Trade Secrets Directive, assessing their
applicability to TANGO and addressing the 'reasonable steps' requirement in the Trade Secrets
Directive. 

Moreover, the work package outlines the structure of the work package, its relation
to other project work, and the future outlook for each component. It emphasizes the need for
continuous feedback and adjustments based on integration processes, pilot initiatives, and user
experiences to enhance the effectiveness of the developed components. In conclusion, the
work conducted within WP3 of the TANGO project demonstrates a strong commitment to
ensuring data security, privacy, and trustworthiness in data management and storage
processes. By leveraging cutting-edge technologies such as blockchain, self-encryption
techniques, and privacy by design principles, the project aims to provide a robust framework
for secure and privacy-preserving data handling within the TANGO architecture. This summary
encapsulates the key highlights of the work package, showcasing the innovative approaches
and solutions developed within WP3 to address the challenges associated with data
management and storage in a privacy-preserving manner.

2. Contribution to Tango framework.
“Distributed Privacy-preserving Data Management and Storage” plays a crucial role in
contributing to the overall TANGO framework.
(1) Enhanced Data Security: By implementing blockchain-based data storage and sharing
mechanisms, the document contributes to enhancing data security within the TANGO
framework. Blockchain technology ensures data integrity, traceability, and tamper-proof
storage, thereby bolstering the overall security of the platform.
(2) Trustworthiness in Data Sharing: The document emphasizes the importance of
trustworthiness in data sharing through mechanisms such as trustworthiness scoring and
privacy risk scoring. By incorporating these components, WP3 enhances the trustworthiness of
data shared within the TANGO framework, promoting secure and reliable data exchange.
(3) Privacy by Design: Components focusing on confidentiality and privacy by design principles
contribute to embedding privacy protections into the core architecture of the TANGO
framework. By prioritizing privacy from the design stage, WP3 ensures that data handling
processes are inherently privacy-preserving, aligning with regulatory requirements and user
expectations.
(4) Data Encryption and Decryption: The implementation of self-encryption and decryption
techniques with multi-factor information recovery mechanisms adds an extra layer of security
to data storage and sharing within the TANGO framework. These techniques safeguard
sensitive information and enable secure data transmission across the platform.
(5) Recommendations for Secure Data Management: The recommendations provided in WP3
for secure and privacy-preserving data storage and sharing serve as guidelines for designing and
implementing secure data management practices within the TANGO framework. These
recommendations ensure that data handling processes adhere to legal frameworks and best
practices for data security and privacy.
(6) Integration with TANGO Architecture: The components developed within WP3 are designed
to seamlessly integrate with the diverse architecture layers of the TANGO platform. This
integration ensures that the privacy-preserving data management and storage solutions
provided by WP3 can be effectively utilized across different application areas supported by the
TANGO framework.

Overall, the contributions of WP3 to the TANGO framework are instrumental in establishing a
robust data management ecosystem that prioritizes security, trustworthiness, and privacy. By
developing innovative components and providing recommendations for secure data handling,
WP3 enhances the overall integrity and reliability of data sharing processes within the TANGO
platform, aligning with the project's objectives of creating a secure and privacy-preserving data
management framework.