Privacy coin technology has always been quite interesting. Security researchers have found that by analyzing the timing characteristics of transactions, they can quite accurately infer which transactions are genuine expenses. For example, a 2017 study pointed out that in a transaction pool containing both real and fake coins, due to the working mechanism of the decoy selection algorithm, real coins often correspond to the most recent on-chain transfers. This time analysis method can identify genuine transactions in over 90% of cases, essentially undermining the privacy protections of privacy coins.
The Monero development team, of course, hasn't been idle. They repeatedly optimized the wallet's coin mixing algorithm and increased the number of mixins. But the awkward part is—despite these improvements, the same 2018 research report still uncovered new vulnerabilities. By 2021, these issues still persisted. Especially last July, a bug was found in the decoy mechanism implementation—transactions within 20 minutes of receiving coins could be directly identified as genuine expenses. Although this loophole was later patched, users who had already operated before couldn't have their transactions retrospectively protected.
Recently, a new vulnerability report was submitted to Monero's security response process, indicating that even with the latest patches, the current decoy algorithm might still have potential issues. This area is still under active research, with no definitive conclusion yet.
In simple terms, the decoy selection algorithm has always been a weakness in systems like RingCT. While increasing ring size can alleviate some pressure, fundamentally solving this problem remains quite difficult.
There is also a threat of "flood" attacks. Attackers can send a large number of transactions to the network to deplete the mixins (decoys). The FloodXMR paper details this method extensively. However, due to some biases in the assumptions about transaction fees in the paper, the actual cost and feasibility of such attacks are still debated.
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ChainWanderingPoet
· 5h ago
Monero's privacy protection seems to be just so-so.
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GasFeeSobber
· 13h ago
Monero's privacy protection is getting worse and worse…
Wait, a 90% recognition rate is just too outrageous, right?
Researchers: discovered a vulnerability
Monero development: fix it
Researchers: found a new vulnerability again
When will this cycle end…
Transactions within 20 minutes are directly exposed, how embarrassing is that?
Is there still a future for privacy coins if this continues?
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GasGasGasBro
· 13h ago
Monero's privacy is really becoming more and more impressive; after all this time, they're still patching it up.
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AirdropGrandpa
· 13h ago
Monero's privacy protection—it's nice to call it iteration, but frankly, it's just patch after patch that never ends.
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StopLossMaster
· 13h ago
Monero's privacy protection is indeed weak; once you analyze the temporal features, it reveals the truth.
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Degen4Breakfast
· 14h ago
Monero's privacy veil actually has quite a few holes.
Privacy coin technology has always been quite interesting. Security researchers have found that by analyzing the timing characteristics of transactions, they can quite accurately infer which transactions are genuine expenses. For example, a 2017 study pointed out that in a transaction pool containing both real and fake coins, due to the working mechanism of the decoy selection algorithm, real coins often correspond to the most recent on-chain transfers. This time analysis method can identify genuine transactions in over 90% of cases, essentially undermining the privacy protections of privacy coins.
The Monero development team, of course, hasn't been idle. They repeatedly optimized the wallet's coin mixing algorithm and increased the number of mixins. But the awkward part is—despite these improvements, the same 2018 research report still uncovered new vulnerabilities. By 2021, these issues still persisted. Especially last July, a bug was found in the decoy mechanism implementation—transactions within 20 minutes of receiving coins could be directly identified as genuine expenses. Although this loophole was later patched, users who had already operated before couldn't have their transactions retrospectively protected.
Recently, a new vulnerability report was submitted to Monero's security response process, indicating that even with the latest patches, the current decoy algorithm might still have potential issues. This area is still under active research, with no definitive conclusion yet.
In simple terms, the decoy selection algorithm has always been a weakness in systems like RingCT. While increasing ring size can alleviate some pressure, fundamentally solving this problem remains quite difficult.
There is also a threat of "flood" attacks. Attackers can send a large number of transactions to the network to deplete the mixins (decoys). The FloodXMR paper details this method extensively. However, due to some biases in the assumptions about transaction fees in the paper, the actual cost and feasibility of such attacks are still debated.