Dandelion++

Author:

Fanti Giulia1,Venkatakrishnan Shaileshh Bojja2,Bakshi Surya3,Denby Bradley1,Bhargava Shruti3,Miller Andrew3,Viswanath Pramod3

Affiliation:

1. CMU, Pittsburgh, USA

2. MIT, Cambridge, USA

3. UIUC, Champaign, USA

Abstract

Recent work has demonstrated significant anonymity vulnerabilities in Bitcoin's networking stack. In particular, the current mechanism for broadcasting Bitcoin transactions allows third-party observers to link transactions to the IP addresses that originated them. This lays the groundwork for low-cost, large-scale deanonymization attacks. In this work, we present \Algopp, a first-principles defense against large-scale deanonymization attacks with near-optimal information-theoretic guarantees. Dandelion++ builds upon a recent proposal called Dandelion that exhibited similar goals. However, in this paper, we highlight some simplifying assumptions made in Dandelion, and show how they can lead to serious deanonymization attacks when violated. In contrast, Dandelion++ defends against stronger adversaries that are allowed to disobey protocol. Dandelion++ is lightweight, scalable, and completely interoperable with the existing Bitcoin network. We evaluate it through experiments on Bitcoin's mainnet (i.e., the live Bitcoin network) to demonstrate its interoperability and low broadcast latency overhead.

Funder

CME Group

Distributed Technologies Research Foundation

Jump Trading

NSF

Input Output Hong Kong

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Computer Science (miscellaneous)

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