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相关论文: Resurrecting Address Clustering in Bitcoin

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Heretofore the concept of "blockchain" has not been precisely defined. Accordingly the potential useful applications of this technology have been largely inflated. This work sidesteps the question of what constitutes a blockchain as such…

数据库 · 计算机科学 2017-03-14 S. Matthew English , Ehsan Nezhadian

Clustering is one of the most common unsupervised learning tasks in machine learning and data mining. Clustering algorithms have been used in a plethora of applications across several scientific fields. However, there has been limited…

机器学习 · 计算机科学 2017-02-09 Quang N. Tran , Ba-Ngu Vo , Dinh Phung , Ba-Tuong Vo

We propose a new way of building portfolios of cryptocurrencies that provide good diversification properties to investors. First, we seek to filter these digital assets by creating some clusters based on their path signature. The goal is to…

投资组合管理 · 定量金融 2024-11-01 Hugo Inzirillo

Clustering is an unsupervised machine learning methodology where unlabeled elements/objects are grouped together aiming to the construction of well-established clusters that their elements are classified according to their similarity. The…

机器学习 · 统计学 2023-10-20 Dimitrios Saligkaras , Vasileios E. Papageorgiou

This article aims to study intrusion attacks and then develop a novel cyberattack detection framework to detect cyberattacks at the network layer (e.g., Brute Password and Flooding of Transactions) of blockchain networks. Specifically, we…

Forecasting cryptocurrencies as a financial issue is crucial as it provides investors with possible financial benefits. A small improvement in forecasting performance can lead to increased profitability; therefore, obtaining a realistic…

计算金融 · 定量金融 2024-05-01 Hulusi Mehmet Tanrikulu , Hakan Pabuccu

Privacy protection mechanisms are a fundamental aspect of security in cryptocurrency systems, particularly in decentralized networks such as Bitcoin. Although Bitcoin addresses are not directly associated with real-world identities, this…

密码学与安全 · 计算机科学 2026-03-19 Shihan Zhang , Bing Han , Chuanyong Tian , Ruisheng Shi , Lina Lan , Qin Wang

Clustering algorithms frequently require the number of clusters to be chosen in advance, but it is usually not clear how to do this. To tackle this challenge when clustering within sequential data, we present a method for estimating the…

机器学习 · 统计学 2024-07-29 Thomas van Vuren , Thomas Cronk , Jaron Sanders

Bitcoin is the first successful decentralized global digital cash system. Its mining process requires intense computational resources, therefore its usefulness remains a disputable topic. We aim to solve three problems with Bitcoin and…

密码学与安全 · 计算机科学 2016-08-25 Alexander Chepurnoy , Mario Larangeira , Alexander Ojiganov

Bitcoin uses blockchain technology to maintain transactions order and provides probabilistic guarantee to prevent double-spending, assuming that an attacker's computational power does not exceed %50 of the network power. In this paper, we…

密码学与安全 · 计算机科学 2024-11-19 Ghader Ebrahimpour , Mohammad Sayad Haghighi

In an age where sustainability is of paramount importance, the significance of both high-performance computing and intelligent algorithms cannot be understated. Yet, these domains often demand hefty computational power, translating to…

分布式、并行与集群计算 · 计算机科学 2025-12-01 Murat Yaslioglu

In 2020 Sala, Sogiorno and Taufer have been able to find the private keys of some Bitcoin addresses, thus being able to spend the cryptocurrency linked to them. This result was unexpected, since the recovery of non-trivial private keys for…

密码学与安全 · 计算机科学 2022-06-29 Antonio J. Di Scala , Andrea Gangemi , Giuliano Romeo , Gabriele Vernetti

Mining pools, the main components of the Bitcoin network, dominate the computing resources and play essential roles in network security and performance aspects. Although many existing measurements of the Bitcoin network are available,…

密码学与安全 · 计算机科学 2019-02-22 Canhui Wang , Xiaowen Chu , Qin Yang

Mixed data comprises both numeric and categorical features, and mixed datasets occur frequently in many domains, such as health, finance, and marketing. Clustering is often applied to mixed datasets to find structures and to group similar…

机器学习 · 计算机科学 2019-03-20 Amir Ahmad , Shehroz S. Khan

Graph clustering is widely used in analysis of biological networks, social networks and etc. For over a decade many graph clustering algorithms have been published, however a comprehensive and consistent performance comparison is not…

社会与信息网络 · 计算机科学 2020-05-12 Lizhen Shi , Bo Chen

Hierarchical clustering is a popular unsupervised data analysis method. For many real-world applications, we would like to exploit prior information about the data that imposes constraints on the clustering hierarchy, and is not captured by…

数据结构与算法 · 计算机科学 2018-07-17 Vaggos Chatziafratis , Rad Niazadeh , Moses Charikar

Blockchain address poisoning is an emerging phishing attack that crafts "similar-looking" transfer records in the victim's transaction history, which aims to deceive victims and lure them into mistakenly transferring funds to the attacker.…

密码学与安全 · 计算机科学 2025-08-19 Shixuan Guan , Kai Li

As a disruptive technology, blockchain, particularly its original form of bitcoin as a type of digital currency, has attracted great attentions. The innovative distributed decision making and security mechanism lay the technical foundation…

密码学与安全 · 计算机科学 2018-12-21 Ameer Tamoor Khan , Xinwei Cao , Shuai Li

The Bitcoin Lightning Network is a Layer 2 payment protocol that addresses Bitcoin's scalability by facilitating quick and cost effective transactions through payment channels. This research explores the feasibility of using machine…

机器学习 · 计算机科学 2025-10-24 Vincent Davis , Emanuele Rossi , Vikash Singh

Consensus algorithms are central to blockchain technology and an emerging research area. In this paper, we begin with an overview of the different types and architectures of blockchain networks. Then, with a focus on consortium blockchains,…

数据结构与算法 · 计算机科学 2023-09-28 Wei Yao , Fadi P. Deek , Renita Murimi , Guiling Wang