security

OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding

Dr Philipp Jovanovic, École Polytechnique Fédérale de Lausanne (EPFL)

Apr 29, 12:00 - 13:00

B9 L2 H1

scale out security transactions

Designing a secure permissionless distributed ledger that performs on par with centralized payment processors such as Visa is challenging. Most existing distributed ledgers are unable to "scale-out" -- growing total processing capacity with number of participants -- and those that do compromise security or decentralization. This work presents OmniLedger, the first scale-out distributed ledger that can preserve long-term security under permissionless operation. OmniLedger ensures strong correctness and security by using a bias-resistant public randomness protocol to choose large statistically representative shards to process transactions, and by introducing an efficient cross-shard commit protocol to handle transactions affecting multiple shards atomically.

Di Wang

Assistant Professor, Computer Science

machine learning data mining privacy security

Professor Wang's research addresses issues and societal concerns arising from machine learning, particularly in the areas of privacy, security, safety, fairness, robustness, interpretability and transparency. He aims to develop provable and practical algorithms to address trustworthiness issues in machine learning.