加密货币地址聚类和标记

Tracing Cryptocurrency Scams: Clustering Replicated Advance-Fee and Phishing Websites

Over the past few years, there has been a growth in activity, public knowledge, and awareness of cryptocurrencies and related blockchain technology. As the industry has grown, there has also been an increase in scams looking to steal unsuspecting individuals cryptocurrency. Many of the scams operate on visually similar but seemingly unconnected websites, advertised by malicious social media accounts, which either attempt an advance-fee scam or operate as phishing websites. This paper analyses public online and blockchain-based data to provide a deeper understanding of these cryptocurrency scam…

一种基于自适应网络的高级加密货币价值预测方法

An adaptive network-based approach for advanced forecasting of cryptocurrency values

本文提出基于ANFIS的架构，利用BTC、ETH及其dominance的日线数据，通过混合和反向传播算法及多种聚类方法，实现未来七天加密货币价格的短期预测。

基于交易历史汇总的比特币地址分类评估

An Evaluation of Bitcoin Address Classification based on Transaction History Summarization

比特币是一种加密货币，具有分布式，去中心化和可信的机制，这使得比特币成为一个受欢迎的全球交易平台。在过去的十年里，国家之间的交易效率和比特币网络地址匿名性带来的隐私吸引了许多活动，如支付，投资，赌博甚至洗钱。不幸的是，一些利用这个平台的犯罪行为没有被发现。这使得许多政府不愿支持加密货币。因此，识别犯罪地址的能力成为加密货币网络中的一个重要问题。在本文中，我们提出了新的功能，除了那些常用的文献中建立一个分类模型，用于检测异常的比特币网络地址。这些特征包括交易时间的各种高阶矩（由块高度表示），其以有效的方式总结了交易历史。提取的特征通过有监督的机器学习方法在标记类别数据集上进行训练。实验结果表明，这些特征显著提高了比特币地址分类的性能。我们在八个分类器下评估了结果，并使用LightGBM实现了87%/86%的最高Micro-F1/Macro-F1。

Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families

Malware family labels are known to be inconsistent. They are also black-box since they do not represent the capabilities of malware. The current state-of-the-art in malware capability assessment include mostly manual approaches, which are infeasible due to the ever-increasing volume of discovered malware samples. We propose a novel unsupervised machine learning-based method called MalPaCA, which automates capability assessment by clustering the temporal behavior in malware's network traces. MalPaCA provides meaningful behavioral clusters using only 20 packet headers. Behavioral profiles are ge…

SoK：加密货币混币技术与混币器综述

SoK: Cryptocurrency Mixing and Anonymity - Architectures, Threat Models, Operational Aspects and Security

本文全面综述了区块链加密货币生态系统中的混币技术与实现，评估其对用户隐私的影响及安全漏洞，并探讨了扩展至智能合约与跨链领域的挑战与创新。

跨UTXO和账户型加密货币的公钥重用

Reuse of Public Keys Across UTXO and Account-Based Cryptocurrencies

本文首次揭示并量化了UTXO和账户型加密货币之间的跨链公钥重用现象，并提出新的聚类方法以识别此类重用。