State Separation Architecture 02

vac:nes:state-separation:vac:state-separation-architecture-02 §

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gantt
  tickInterval 1month
  dateFormat YYYY-MM-DD 
  section Status
   State Separation Architecture 02: 2025-01-02, 2025-12-31

• status: 0%
• CC: Team

Description §

contiunation of vac:nes:state-separation:vac:state-separation-architecture-02

Justification §

Work Breakdown and Deliverables §

• Sub Milestone 1 (2025): TDAG & PDAG Integration for Privacy Enhancement

  Work Breakdown: Use Transaction Directed Acyclic Graphs (TDAGS) and Private Directed Acyclic Graphs (PDAGs) for a comparative analysis of the Nescience architecture’s privacy features. The main idea is to implement PDAGs to improve unlinkability and untraceability within the project, enhancing privacy features. This can be done by developing and integrating PDAG structure, oncluding data structures, algorithms and the integration mechanism with the existing system; by conducting thorough testing of the PDAG implementation to identify issues or areas of improvements; and by monitoring its performance and impact on privacy enhancement.

  Deliverables:

  • Report on PDAG reearch and analysis.
  • PDAG integration technical specifications and design documents.
  • A functioning PDAG implementation with testing reports.
  • Documentation on PDAG privacy improvements and security analysis.

• Sub Milestone 2 (2025): Kernel-based Architecture Implementation

  Work Breakdown: Develop a kernel-based framework for verifying private function executions accurately, using a recursive SNARKs approach to build and validate a call stack. This is to ensure robust proof of execution sacrificing computational resources (raising gas fees due to the intensive nature of generating SNARK proofs and handling recursive computations). We will focus on balancing the precision of recursive verification with its computational costs, aiming for a system that guarantees the integrity of private functions while managing resource use efficiently.

  Deliverables:

  • A data structure to manage recursive function calls, ensuring efficiency and security.
  • A system to securely accumulate and manage proof data for recursive calls, facilitating tamper-resistant proof handling.
  • Generation of intermediary SNARK proofs for each recursive call, with aggregation capabilities for comprehensive stack validation.
  • Establishment of a maximum recursion depth with enforcement mechanisms to prevent computational overflow.
  • A fully integrated recursive verification system with extensive testing to ensure functionality, security, and performance under varied conditions.

• Sub Milestone 3 (2025): Seamless Interaction Design

  Work Breakdown: Address the challenge of potential information leakage between private and public transactions by ensuring composability between contracts and secure integration of functions. Moreover, we would like to be able to create secure channels for contract composability and interaction layers that prevent private data exposure by implementing strategic safeguards against information leakage.

  Deliverables:

  • Intermediary smart contracts for secure public-private interactions.
  • Confidential sidechains and cross-chain protocols employement.
  • Fragmentation of data across shards for private interaction.

• Sub Milestone 4 (2025 / 2026): zkVM deployment

  Work Breakdown: Our aim is to deploy our work in progress state separation architecture within a privacy-first zero knowledge virtual machine since it places an emphasis on privacy enhancements (which we need for our privacy-first zkVM).

  Deliverables: A functioning privacy-first zkVM that ensures that while private state data remains undisclosed, public state transitions can still be carried out and subsequently verified by third parties.

• Sub Milestone 5 (2025 / 2026): State Separation Doc

  Description: This open milestone is crucial for ensuring that our development aligns with the evolving needs and expectations of users and organization. We aim not only to address the immediate challenges of developing a privacy-first blockchain but also to lay the groundwork for future innovations in blockchain privacy and security. Note: This is an ongoing and long term milestone with possible deliveries within the year 2024. The timing and nature of these deliveries are contingent upon our continuous findings and their subsequent impact on privacy for both the organization and the community.

  Work Breakdown:

  • Document all the research findings, the development steps and the methodologies.
  • Explain the utility and adoption process of each solution to reinforce privacy within the project
  • Explain the shift in focus towards detailing the chosen paths for the project development, including the rationale behind these decisions and their alignment with privacy enhancements.
  • Review future directions, potential areas of research, and ongoing development efforts to continue advancing privacy within the Nescience project

  Deliverables

  • Blog posts.
  • Scientific papers.