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
- Aviv Zohar
- Benedikt Bünz
- Dusist Niyato
- Björn Scheuermann
- Florian Tschorsch
- Malte Möser
- Kyle Soska
- Zehui Xiong
In Computer Vision and Pattern Recognition
- Björn Scheuermann
- Florian Tschorsch
- Ittay Eyal
- Emin Gün Sirer
- Adem Efe Gencer
- Zibin Zheng
- Robbert van Renesse
- Huaimin Wang
In Information Systems
- Björn Scheuermann
- Florian Tschorsch
- Aviv Zohar
- Dusist Niyato
- Andrew K. Miller
- Malte Möser
- Benedikt Bünz
- Zehui Xiong
Citations in the corpus
- Eclipse Attacks on Bitcoin's Peer-to-Peer Network (2015, background): “Today, an attacker with enough addresses can eclipse any victim that accepts incoming connections and then restarts.”
- Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019, background): “the public addresses used in the blockchain, another blockchain network node could link the address with a wallet and real user, despite the supposed anonymity of new randomly generated addresses [71].”
- Blockchain challenges and opportunities: a survey (2018, methodology): “In [19], each client can be uniquely identified by a set of nodes it connects to.”
- TumbleBit: An Untrusted Bitcoin-Compatible Anonymous Payment Hub (2017, unknown): “Higher fees are paid for larger transactions.”
- Applications of Blockchains in the Internet of Things: A Comprehensive Survey (2019, background): “Singular blockchain addresses can be traced back publicly and can reveal user identities [123].”
- An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends (2017, methodology): “In [11], each client can be uniquely identified by a set of nodes it connects to.”
- A Survey of Blockchain From the Perspectives of Applications, Challenges, and Opportunities (2019, background): “Privacy leakage may also happen within the blockchain, although the system claims to be extensively secured as users only make transactions with digital signatures that associate public-private key encryption [14].”
- An Empirical Analysis of Traceability in the Monero Blockchain (2017, background): “While Bitcoin, the first and currently largest cryptocurrency, explicitly identifies which coin in the transaction graph is being spent, Cryptonote allows users to obscure the transaction graph by including chaff transaction inputs called “mixins” (this is visualized in Figure 1).”
- Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies (2016, methodology): “However, [72] point out that it is possible for an attacker to trigger a ban of Tor connections to the Bitcoin network.”
- A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks (2018, background): “In [36] and [89], examination on the block propagation delay T in (5) shows that a”
- Zether: Towards Privacy in a Smart Contract World (2020, methodology): “Even if an anonymous network like Tor [81] is used, cryptocurrencies can be attacked [6].”
- Decentralization in Bitcoin and Ethereum Networks (2018, background): “[4] examined how peer neighbors discover IP addresses that correspond to pseudonymous identities.”