Deanonymisation of Clients in Bitcoin P2P Network

By Alex Biryukov, Dmitry Khovratovich, I. Pustogarov. Conference on Computer and Communications Security, 2014

564 citations recorded by the source corpus.

Bitcoin is a digital currency which relies on a distributed set of miners to mint coins and on a peer-to-peer network to broadcast transactions. The identities of Bitcoin users are hidden behind pseudonyms (public keys) which are recommended to be changed frequently in order to increase transaction unlinkability. We present an efficient method to deanonymize Bitcoin users, which allows to link user pseudonyms to the IP addresses where the transactions are generated. Our techniques work for the most common and the most challenging scenario when users are behind NATs or firewalls of their ISPs. They allow to link transactions of a user behind a NAT and to distinguish connections and transactions of different users behind the same NAT. We also show that a natural countermeasure of using Tor or other anonymity services can be cut-off by abusing anti-DoS countermeasures of the Bitcoin network. Our attacks require only a few machines and have been experimentally verified. The estimated success rate is between 11% and 60% depending on how stealthy an attacker wants to be. We propose several countermeasures to mitigate these new attacks.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/e4b92eccc5bc7ededff579232f5bed5186bf8302

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Aviv Zohar
  2. Benedikt Bünz
  3. Dusist Niyato
  4. Björn Scheuermann
  5. Florian Tschorsch
  6. Malte Möser
  7. Kyle Soska
  8. Zehui Xiong

In Computer Vision and Pattern Recognition

  1. Björn Scheuermann
  2. Florian Tschorsch
  3. Ittay Eyal
  4. Emin Gün Sirer
  5. Adem Efe Gencer
  6. Zibin Zheng
  7. Robbert van Renesse
  8. Huaimin Wang

In Information Systems

  1. Björn Scheuermann
  2. Florian Tschorsch
  3. Aviv Zohar
  4. Dusist Niyato
  5. Andrew K. Miller
  6. Malte Möser
  7. Benedikt Bünz
  8. Zehui Xiong

Citations in the corpus