Bitcoin, an SWOT analysis Request PDF

Dandelion++: Lightweight Cryptocurrency Networking with Formal Anonymity Guarantees

arXiv:1805.11060
Date: 2018-05-28
Author(s): Giulia Fanti, Shaileshh Bojja Venkatakrishnan, Surya Bakshi, Bradley Denby, Shruti Bhargava, Andrew Miller, Pramod Viswanath

Link to Paper


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 Dandelion++, 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 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.

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[email protected] Martin Harrigan Clique Research Cluster University College Dublin, Ireland [email protected] Abstract—Anonymity in Bitcoin, a peer-to-peer electronic currency system, is a complicated issue. Within the system, users are identified by public-keys only. An attacker wishing to de-anonymize its users will attempt to construct the one-to-many mapping between users and ... As Fergal Reid and Martin Harrigan note in their analysis of anonymity in the implementation of Bitcoin, [w]ith appropriate tools, the activity of known users can be observed in detail. This can be performed using a passive analysis only. Active analyses, where an interested party can potentially deploy "marked" Bitcoins and collaborate with ... Earlier research, like that of Fergal Reid and Martin Harrigan, traced Bitcoin transactions to IP addresses using outside information like forum group posts. In essence, this is how the FBI discovered who Dread Pirate Roberts was and connected him to the Silk Road. Fergal Reid; Martin Harrigan; Anonymity in Bitcoin, a peer-to-peer electronic currency system, is a complicated issue. Within the system, users are identified by public-keys only. An attacker ... List of computer science publications by Fergal Reid. refinements active! zoomed in on ?? of ?? records. dismiss all constraints. view refined list in

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