Beware the Middleman: Empirical Analysis of Bitcoin-Exchange Risk
2019-11-07
此篇paper在所给PDF的25-33页。比特币的成功吸引了诈骗者的注意。研究者们从投资者在比特币交易中所面临的风险出发。主要研究了货币交易所这一方面的风险,并对比特币持有者面临的交易所倒闭风险进行了实证研究。给出了比特币交易所的倒闭概率和遭受安全漏洞可能性的生存分析。其中,研究者们利用比例风险回归模型,得出交易所关闭的概率与其交易量成反比的结论,又提出一种逻辑回归,表明流行的交易所更有可能遭受安全漏洞。
Bitcoin Security currency economics cybercrime exchanges
Blockchain challenges and opportunities: a survey
2019-11-06
This is the first comprehensive survey on the blockchain technology in both technological and application perspectives. This paper focuses on the state-of-art blockchain studies and gives a thorough view of the blockchain technology rather than concentrates on a specific kind of cryptocurrency. It's certain that beginners of blockchain will benefit a lot from this writing.
Blockchain Survey
T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis
2019-11-06
This paper proposed a novel Temporal Weighted Multidigraph (TWMDG) method to perform node embedding on Ethereum transaction network. TWMDG incorporated temporal and weighted information of financial transaction networks into node embeddings and obtain better experimental results against baselines on two tasks: link prediction and node classification. It was the first work to understand Ethereum transaction records via graph embedding.
Transaction Graph Ethereum data mining
Practical Byzantine Fault Tolerance
2019-11-06
Today there is a growing number of malicious attacks and software errors, which will certainly cause faulty nodes to exhibit Byzantine behavior. The paper describes the first state-machine replication protocol that correctly survives Byzantine faults in asynchronous networks, and also provides experimental results that quantify the cost of the replication technique.
Blockchain Security
Who Spent My EOS? On the (In)Security of Resource Management of EOS.IO
2019-11-06
A well understanding of potential threats and their underlying causes is necessary when building a secure system. This paper is the first study that analyzes the security of the EOS.IO system and points out that all of the security vulnerabilities they find stem from the EOS.IO design, which is beneficial to the whole EOS ecosystem.
Security Smart Contract EOS
Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum
2019-11-06
This paper proposes a machine learning method to detect smart Ponzi schemes. The ground truth data is obtained by manually checking the source code. And two categories of features, account features and code features, are extracted. Based on the features and ground truth data, a random forest model is built and applied to identify latent smart Ponzi schemes. The authors estimate that there are more than 500 smart Ponzi schemeson Ethereum.
Blockchain Smart Contract Ethereum


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