an empirical analysis of traceability in the monero blockchain


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PDF A Traceability Analysis of Moneros Blockchain

We evaluate our attacks on the Monero blockchain and show that in 87 of cases the real output being redeemed can be easily identi˙ed with certainty Moreover we have compelling evidence thattwoofourattacksalsoextendtoMoneroRingCTs—thesecond generation Monero that even hides the transaction value

  • What are the characteristics of a Monero non-RingCT transaction?

    1. Unlinkability: For any two transactions, it should be impossible to deduce that they were sent to the same recipient. 2. Untraceability: Given a transaction input, the real output being redeemed in it should be anonymous among a set of other outputs. Fig. 1. A schematic representation of a simplified Monero non-RingCT transaction.

  • Is Monero a privacy-centric cryptocurrency?

    Monero is a privacy-centric cryptocurrency that allows users to obscure their transactions by including chaff coins, called "mixins," along with the actual coins they spend. In this paper, we empirically evaluate two weaknesses in Monero's mixin sampling strategy.

  • What is the untraceability guarantee in Monero?

    The untraceability guarantee in Monero relies on the assumption that it is hard for an adversary to distinguish a spent TXO from an unspent TXO. In the next section, we develop three heuristics that allow us to test this hypothesis and reduce the anonymity-set size for an input.

  • Can Monero transactions be traceable?

    We formalize a new method for tracing Monero transactions, which is based on analyzing currency hard forks. We use that method to perform a (passive) traceability analysis on data from the Monero, MoneroV and Monero Original blockchains and find that only a small amount of inputs are traceable.

Brute-Force Attack

Brute-force attack is an attack that tries all possible sequence of distinct public-keys to test whether it is valid for the assignments of the real-spends for all transaction inputs. While a sequence of public-keys is valid if it satisfies requirements: (1) the size of the sequence equals to the number of total transaction inputs in the dataset; (

Our Attack

Although the aforementioned brute-force attack is perfect, the complexity is prohibitively high in practice, which is \\(\\mathcal {O}(n)\\). Considering the inefficiency and impracticability of brute-force attack, we propose a new attack called \\(\\textit{closed set}\\), which is more efficient while providing the same result. The proposed \\(\\textit{c

Theorem 1

The aforementioned \\(\\textit{closed set}\\)attack is equivalent to brute-force attack. In other words, for any set of transactions, the impact of our attack on it is identical to the impact of brute-force attack. Due to space limitation, we refer readers to the full version of this paper for the proof of this theorem. link.springer.com

on The Existence of Closed Set: A Theoretical Perspective

As mentioned before, the \\(\\textit{closed set}\\) attack is optimal. This is to say, we can conclude that anonymity of inputs cannot be reduced if no \\(\\textit{closed set}\\) exists. In this section, we estimate the probability that there exists at least one \\(\\textit{closed set}\\)in an ideal scenario, namely, all inputs have a (small) constant numbe

Lemma 2

With all but a small probability \\(2^{-19}\\), there does not exist any closed set in the above dataset if all inputs have 3 mixins and all mixins are sampled uniformly from all keys. The proof of this lemma is given in the full version of this paper. link.springer.com

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