区块链下载列表第71页

[比特币] Discovering Bitcoin’s Public Topology and Influential Nodes.pdf

说明： The Bitcoin network relies on peer-to-peer broadcast to distribute pending transactions and confirmed blocks. The topology over which this broadcast is distributed af- fects which nodes have advantages and whether some at- tacks are feasible. As suc
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[比特币] Beware the Middleman：Empirical Analysis of Bitcoin-Exchange Risk.pdf

说明： Bitcoinhasenjoyedwideradoptionthananypreviouscrypto-currency; yet its success has also attracted the attention of fraudsters who have taken ad- vantage of operational insecurity and transaction irreversibility. We study the risk investors face from
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[比特币] Analysis of Hashrate-Based Double Spending.pdf

说明： Bitcoin ([?]) is the world’s first decentralized digital currency. Its main technical innovation is the use of a blockchain and hash-based proof of work to synchronize transactions and prevent double-spending the currency. While the qualitative natu
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[比特币] An Analysis of Anonymity in the Bitcoin System.pdf

说明： Anonymity in Bitcoin, a peer-to-peer electronic currency system, is a com- plicated issue. Within the system, users are identified by public-keys only. An attacker wishing to de-anonymize its users will attempt to construct the one- to-many mapping
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[比特币] An Analysis of Anonymity in Bitcoin Using P2P Network Traffic.pdf

说明： Over the last 4 years, Bitcoin, a decentralized P2P crypto- currency, has gained widespread attention. The ability to create pseudo- anonymous financial transactions using bitcoins has made the currency attractive to users who value their privacy. A
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[比特币] A New Analysis of the False-Positive Rate of a Bloom Filter.pdf

说明： A Bloom filter is a space-efficient data structure used for probabilistic set membership testing. The Bloom filter was invented by Bloom in 1970 [1] and has found widespread application in many domains of Computer Science. Bloom filters have many us
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[比特币] ”Better Than Nothing” Privacy with Bloom Filters：To What Extent？.pdf

说明： Bloom filters are probabilistic data structures which permit to conve- niently represent set membership. Their performance/memory efficiency makes them appealing in a huge variety of scenarios. Their probabilistic operation, along with the implicit
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