JD Digits' JACOBI Blockchain Innovation Lab Announces Major Research Achievements Including Dumbo Asynchronous Consensus and Identity Management Protocols

Recently, JD Digits' JACOBI Blockchain Innovation Lab publicly released a batch of stage‑wise international top‑tier research outcomes, covering core blockchain technologies such as consensus protocols, cryptography, and novel distributed‑application solutions.

The lab has published seven papers in prestigious venues like PODC, CCS, NDSS, and ICDCS, positioning it at the forefront of both domestic blockchain research and industry.

Three core research breakthroughs:

1. Dumbo (asynchronous consensus) protocol – the first to push asynchronous consensus from theory to practice, reducing the number of low‑efficiency module invocations to a constant three regardless of node count, achieving confirmation latency and TPS dozens of times higher than existing solutions. The related Dumbo‑MVBA protocol resolves a 20‑year‑old open problem, reaching theoretical optimality; both papers were accepted by ACM CCS 2020.

2. Blockchain Identity Management protocol – addresses identity verification and key management, enhancing security for enterprise blockchain services; results appeared in NDSS 2020.

3. Storage‑Time Proof – provides efficient proof that stored files remain intact throughout their lifecycle, supporting value‑added cloud storage services; also accepted by NDSS 2020.

Additional contributions include a privacy‑preserving decentralized crowdsourcing algorithm (ICDCS 2020) and a lightweight client protocol for public chains (ESORICS 2020).

These technologies underpin JD Digits' AI‑plus‑blockchain initiatives, such as the “JD Zhizhen Chain” brand and the open‑source JD Chain engine, which have already been applied to financial technology, smart supply chains, electronic signing, and asset securitization solutions, delivering significant cost and efficiency gains.

Future plans aim to integrate the Dumbo protocols into JD Zhizhen Chain products, achieving the world’s first practical deployment of asynchronous consensus, enhancing security against network attacks, reducing system complexity, and supporting high‑reliability applications in finance and other sectors.