2022
DOI: 10.1109/access.2022.3204387
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SoK: Network-Level Attacks on the Bitcoin P2P Network

Abstract: Over the last decade, Bitcoin has revolutionized the global economic and technological landscape, inspiring a new generation of blockchain-based technologies. Its protocol is today among the most influential for cryptocurrencies and distributed networks. In particular, the P2P layer represents a reference point for all permissionless blockchains, which often implement its solutions in their network layer. Unfortunately, the Bitcoin network protocol lacks a strong security model, leaving it exposed to several t… Show more

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Cited by 10 publications
(2 citation statements)
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“…Without such efforts in protecting payment privacy, LN users would suffer from large-scale privacy invasion or surveillance in which their payment information (e.g., timing, amount, involved parties, correlated IP addresses) is directly exposed to adversaries. Note that existing privacy protections in Bitcoin (e.g., pseudoanonymous address [35], transaction diffusion [25]) do not apply to LN payments because LN users do not interact with Bitcoin network when transacting off-chain.…”
Section: Background: Lightning Networkmentioning
confidence: 99%
“…Without such efforts in protecting payment privacy, LN users would suffer from large-scale privacy invasion or surveillance in which their payment information (e.g., timing, amount, involved parties, correlated IP addresses) is directly exposed to adversaries. Note that existing privacy protections in Bitcoin (e.g., pseudoanonymous address [35], transaction diffusion [25]) do not apply to LN payments because LN users do not interact with Bitcoin network when transacting off-chain.…”
Section: Background: Lightning Networkmentioning
confidence: 99%
“…For example, some people say that P2P online lending market has become an important gathering place of Internet financial risks. It not only disturbs the order of China's financial market, but also causes unemployment of online LP practitioners and damage to the interests of investors [1][2]. Some scholars have also built an effective P2P online loan platform (LP) risk early warning model by integrating mass data collection, Spark distributed platform computing, machine learning modeling and other big data technologies [3][4].…”
Section: Introductionmentioning
confidence: 99%