2020-11-18

Owned by Clive Boulton
Last updated: Dec 16, 2020
2 min read

Attendees

Announcements

Anti-trust Policy Notice and Hyperledger Code of Conduct

Agenda

Dr. Michael Kuperberg, Chief Blockchain Architect at DB Systel (Deutsche Bahn), will be our guest speaker on Wed Nov 18th 9 AM PST Architecture WG meeting.

Deletion is interesting, especially for GDPR and other privacy regulatory compliance. Network partitioning tolerance is a core requirement for correctness of DLTs.

Please see the abstract and attached papers on the two topics from Michael.

Please forward to anyone else in the community who may be interested.

  1. Deletion: 
    1. Abstract: 
      Conventional blockchain implementations with append-only semantics do not support deleting or overwriting data in confirmed blocks. However, many industry-relevant use cases require the ability to delete data, especially when personally identifiable information is stored or when data growth has to be constrained. To solve this challenge, we present a novel architecture for the blockchain ledger and consensus, which uses a tree of context chains with simultaneous validity. The resulting context isolation enables consensus-steered deletion of an entire context without side effects to other contexts. We show how this architecture supports truncation, data rollover and separation of concerns, and how the GDPR regulations can be fulfilled by this architecture.
    2. PDF: I attached the preprint of the underlying paper ("Towards Enabling Deletion in Append-Only Blockchains to Support Data Growth Management and GDPR Compliance") - the conference paper PDF (which I recently presented) has not yet been made public on IEEEXPLORE...
  2. Partitioning:
    1. Abstract: 

      Both permissioned and unpermissioned blockchains are designed to tolerate and to overcome the failure of individual nodes, which need to update themselves once they reconnect to the blockchain network. At the same time, it is important to avoid accidental network partitioning, since partitioning can lead to inconsistent “multiple truths” and violate the shared consensus about the global state, which must be maintained across all active and re-emerging nodes. Given the differences in design and implementation across ledgers and blockchains, a systematic analytic approach must be established before partitioning prevention in specific products is studied. Therefore, we perform a foundational analysis of enterprise-grade consensus protocols, including design recommendations for partitioning avoidance for Proof-of-Authority in Hyperledger Fabric. 

    2. PDF: I attached the underlying paper ("Towards An Analysis of Network Partitioning Prevention for Distributed Ledgers and Blockchains")
      1. the publisher's URL is https://ieeexplore.ieee.org/document/9126030/ 

Slides

Deletion in blockchains  

Recording

Audio only (video is too large)