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arxiv: 2607.00772 · v1 · pith:52RIDJVJnew · submitted 2026-07-01 · 💻 cs.CR

No Country for Old Privacy: The Evolving Challenges of Anonymity in Bitcoin

Ben Hawkins , Joshua Levett , Siamak F. Shahandashti This is my paper

Pith reviewed 2026-07-02 10:46 UTC · model grok-4.3

classification 💻 cs.CR
keywords BitcoinprivacyanonymityCoinJoinCoinSwapCoinShuffleStealth Addressesadoption measurement
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The pith

Detectable Bitcoin privacy protocols are used in less than 1 percent of transactions and declined after regulatory events.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper conducts a longitudinal study tracking the use of CoinJoin, CoinSwap, CoinShuffle, and Stealth Addresses on the Bitcoin blockchain. It applies refined heuristic filters to count millions of such transactions and measures their share of total network activity. Adoption stays below 1 percent throughout the period examined, with a clear drop following regulatory milestones. CoinShuffle activity tracks the lifespan of one specific wallet, while Stealth Addresses show no sign of settling on a single format. The findings indicate that users seeking privacy have largely moved to methods that leave fewer visible traces on the public ledger.

Core claim

By implementing and refining a suite of heuristic filters, the study identifies over 5.94 million CoinJoin and 23.3 million CoinSwap transactions, with CoinShuffle usage closely aligned to the Wasabi wallet period. These detectable second-generation anonymisation protocols constitute less than 1 percent of network transactions, exhibit a sharp decline in detectable usage following key regulatory events, and show no evidence of standardised Stealth Address adoption, indicating a failure to converge on a common privacy standard and suggesting migration of privacy-seeking users to less transparent and less detectable methods.

What carries the argument

A suite of refined heuristic filters that detect CoinJoin, CoinSwap, CoinShuffle, and Stealth Address transactions on the Bitcoin blockchain.

If this is right

  • These protocols make up less than 1 percent of all Bitcoin transactions.
  • Detectable usage drops sharply after key regulatory events.
  • CoinShuffle activity matches the operational window of the Wasabi wallet.
  • No common standard for Stealth Addresses has emerged.
  • Privacy-seeking activity has shifted toward less visible methods.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Regulatory pressure appears to reduce the visibility of privacy tools rather than eliminate privacy-seeking behavior.
  • On-chain measurements may systematically undercount total privacy activity once users adopt harder-to-detect techniques.
  • Future privacy designs may need to avoid creating recognizable on-chain patterns to remain effective.
  • Repeated longitudinal scans of the same blockchain could reveal whether the decline stabilizes or reverses with new tools.

Load-bearing premise

The implemented heuristic filters correctly identify the privacy-protocol transactions with low error rates and without substantial false positives.

What would settle it

An independent re-analysis of the same blockchain data that reports substantially higher counts of these transaction types or sustained usage levels after the regulatory events.

Figures

Figures reproduced from arXiv: 2607.00772 by Ben Hawkins, Joshua Levett, Siamak F. Shahandashti.

Figure 1
Figure 1. Figure 1: Left: A CoinShuffle protocol, where Alice has addresses A, A ′ , Bob B, B ′ , and Charlie C, C ′ (adapted from [30]); Right: Fair Exchange transactions (adapted from [1]). announcing the protocol, each participant generates a fresh ephemeral key pair, and broadcasts their public keys. After agreeing on a participant order, each par￾ticipant i receives i − 1 ciphertexts containing layered encryptions of pre… view at source ↗
Figure 2
Figure 2. Figure 2: BTC Transactions per Block over 1,008 block Periods privacy-enhancing solutions tend to see greater interest. Additionally, regulatory scrutiny, such as FBI warnings (Event G) against unregistered crypto services, typically pushes users to adopt more robust privacy tools due to increasing con￾cerns over data privacy and transaction tracing [PITH_FULL_IMAGE:figures/full_fig_p010_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Normalised CoinJoin Transactions per Block 5.1 CoinJoin The heuristic analysis identified a total of 5,948,184 CoinJoin transactions across the full study period. As [PITH_FULL_IMAGE:figures/full_fig_p011_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Normalised CoinSwap Transactions per Block same number of individuals were using both protocols, we would expect far more CoinSwap transactions, than CoinJoin transactions. Accounting for CoinJoin’s ∼50 participants per transaction [25](vs. 2 for CoinSwap), its 6 million transactions become 300 million participant-uses, while CoinSwap’s 23 million becomes 46 million. CoinJoin therefore serves ∼6.5× more us… view at source ↗
Figure 5
Figure 5. Figure 5: Normalised CoinShuffle Transactions per Block because Wasabi’s coordinator-based implementation, while distinct from a pure peer-to-peer design, generates transactions with an on-chain structure function￾ally identical to that of CoinShuffle. Although CoinShuffle was proposed in 2014, the first discernible activity only emerged around block 600k (late 2019), coinciding precisely with Wasabi’s rise as the f… view at source ↗
Figure 6
Figure 6. Figure 6: Normalised Stealth Address Transactions per Block produced by Heuristic 2 activity indicates that these detections likely represent anomalous events, e.g., the short-term testing of a protocol or, more likely, non-stealth data embedding, rather than evidence of stealth address usage. The second, broad heuristic produced many detections ( [PITH_FULL_IMAGE:figures/full_fig_p014_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Moving Average of Normalised Transactions per Block for All Protocols 5.5 Protocol Competition [PITH_FULL_IMAGE:figures/full_fig_p015_7.png] view at source ↗
read the original abstract

We present a longitudinal measurement study on the adoption of detectable, second-generation anonymisation protocols in the Bitcoin network, including CoinJoin, CoinSwap, CoinShuffle and Stealth Addresses. By implementing and refining a suite of heuristic filters, we identify over 5.94 million CoinJoin and 23.3 million CoinSwap transactions. Besides, the use of CoinShuffle was unexpectedly found to be closely aligned with the Wasabi wallet operation period. Our analysis reveals consistently low adoption rates, with these protocols constituting less than 1% of network transactions, and a sharp decline in detectable usage following key regulatory events. Furthermore, we find no evidence of standardised Stealth Address adoption, indicating a failure to converge on a common privacy standard. This study provides a comprehensive picture of a niche ecosystem whose on-chain visibility has been largely suppressed, strongly suggesting the migration of privacy-seeking users to less transparent and less detectable methods.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper presents a longitudinal measurement study of detectable second-generation Bitcoin privacy protocols (CoinJoin, CoinSwap, CoinShuffle, Stealth Addresses). Using a suite of heuristic filters, it identifies 5.94 million CoinJoin and 23.3 million CoinSwap transactions, reports adoption below 1% of network volume, documents a post-regulatory decline in detectable usage, notes CoinShuffle alignment with Wasabi, and finds no evidence of standardized Stealth Address deployment, suggesting migration to less visible methods.

Significance. If the heuristic identifications prove reliable, the work supplies a rare quantitative baseline on the on-chain visibility and regulatory responsiveness of privacy tools, documenting consistently low adoption and the absence of convergence on Stealth Address standards. Such empirical trends would be useful for both policy analysis and future privacy research.

major comments (2)
  1. [Abstract / Methods] Abstract and methods section: The headline counts (5.94M CoinJoin, 23.3M CoinSwap) and the <1% adoption statistic are generated exclusively by the heuristic filters, yet the manuscript supplies no precision/recall figures, no ground-truth test set drawn from known Wasabi/JoinMarket outputs, and no false-positive analysis on ordinary non-privacy traffic. Standard equal-output patterns can overlap with non-CoinJoin transactions, so any non-negligible error rate directly scales the reported volumes and the central low-adoption claim.
  2. [Abstract] Abstract: The claim of a 'sharp decline in detectable usage following key regulatory events' requires precise timing alignment between the heuristic detections and the regulatory dates; without reported validation of the filters or sensitivity checks on timing windows, the causal attribution remains unsupported.
minor comments (1)
  1. The manuscript should include a dedicated limitations subsection that explicitly discusses the known failure modes of the heuristics and any manual spot-checks performed.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback on our longitudinal measurement of detectable Bitcoin privacy protocols. We address the two major comments below and will revise the manuscript to improve methodological transparency and the presentation of temporal trends.

read point-by-point responses

  1. Referee: [Abstract / Methods] Abstract and methods section: The headline counts (5.94M CoinJoin, 23.3M CoinSwap) and the <1% adoption statistic are generated exclusively by the heuristic filters, yet the manuscript supplies no precision/recall figures, no ground-truth test set drawn from known Wasabi/JoinMarket outputs, and no false-positive analysis on ordinary non-privacy traffic. Standard equal-output patterns can overlap with non-CoinJoin transactions, so any non-negligible error rate directly scales the reported volumes and the central low-adoption claim.

    Authors: We agree that the current manuscript lacks explicit precision/recall figures and a reported false-positive analysis. Ground-truth labeled datasets from privacy tools are not publicly available, which limits direct validation. The heuristics follow patterns documented in prior work on CoinJoin and CoinSwap. In revision we will add a dedicated Limitations subsection that (a) discusses overlap risks with non-privacy equal-output transactions, (b) reports the outcome of applying the filters to a control sample of ordinary traffic, and (c) qualifies the adoption-rate claims accordingly. revision: yes

  2. Referee: [Abstract] Abstract: The claim of a 'sharp decline in detectable usage following key regulatory events' requires precise timing alignment between the heuristic detections and the regulatory dates; without reported validation of the filters or sensitivity checks on timing windows, the causal attribution remains unsupported.

    Authors: The decline is visible in the time-series of detected transactions. To make the alignment explicit we will (i) list the exact regulatory announcement dates in the revised abstract and results, (ii) add annotations on the relevant figures, and (iii) include a sensitivity analysis that varies the observation windows around those dates. These additions will be placed in the Methods and Results sections. revision: yes

Circularity Check

0 steps flagged

Empirical measurement study with no derivation chain or self-referential steps

full rationale

This paper is a longitudinal empirical study that applies a suite of heuristic filters to Bitcoin blockchain transaction data to count and trend CoinJoin, CoinSwap, CoinShuffle, and Stealth Address usage. The central claims (transaction counts, <1% adoption, post-regulatory decline) are direct outputs of those filters applied to the ledger; there are no equations, fitted parameters, predictions, ansatzes, or uniqueness theorems that reduce to inputs by construction. No self-citations are load-bearing for any result, and the study contains no mathematical derivation chain to inspect for circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only review provides no explicit free parameters, axioms, or invented entities; the heuristics themselves are the unstated modeling choice.

pith-pipeline@v0.9.1-grok · 5687 in / 1119 out tokens · 49176 ms · 2026-07-02T10:46:22.459912+00:00 · methodology

discussion (0)

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