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Anomaly detection tools play a role of paramount importance in protecting networks and systems from unforeseen attacks, usually by automatically recognizing and filtering out anomalous activities. Over the years, different approaches have…

Cryptography and Security · Computer Science 2020-07-06 Matteo Signorini , Matteo Pontecorvi , Wael Kanoun , Roberto Di Pietro

In this work, we consider community detection in blockchain networks. We specifically take the Bitcoin network and Ethereum network as two examples, where community detection serves in different ways. For the Bitcoin network, we modify the…

Social and Information Networks · Computer Science 2021-01-19 Sissi Xiaoxiao Wu , Zixian Wu , Shihui Chen , Gangqiang Li , Shengli Zhang

The popularity and amazing attractiveness of cryptocurrencies, and especially Bitcoin, absorb countless enthusiasts daily. Although Blockchain technology prevents fraudulent behavior, it cannot detect fraud on its own. There are always…

Cryptography and Security · Computer Science 2021-07-05 Mohammad Javad Shayegan , Hamid Reza Sabor

Blockchain has recently been depicted as a secure protocol for information exchange in cyber-physical microgrids. However, it is still found vulnerable to consensus manipulation attacks. These stealth attacks are often difficult to detect…

Cryptography and Security · Computer Science 2023-03-09 Suman Rath , Lam Duc Nguyen , Subham Sahoo , Petar Popovski

Strategies related to the blockchain concept of Extractable Value (MEV/BEV), such as arbitrage, front-, or back-running create strong economic incentives for network nodes to reduce latency. Modified nodes, that minimize transaction…

Cryptography and Security · Computer Science 2025-02-10 Taro Tsuchiya , Liyi Zhou , Kaihua Qin , Arthur Gervais , Nicolas Christin

This paper explores anomaly detection through temporal network analysis. Unlike many conventional methods, relying on rule-based algorithms or general machine learning approaches, our methodology leverages the evolving structure and…

This paper presents a dynamic, real-time approach to detecting anomalous blockchain transactions. The proposed tool, BlockGPT, generates tracing representations of blockchain activity and trains from scratch a large language model to act as…

Cryptography and Security · Computer Science 2023-05-02 Yu Gai , Liyi Zhou , Kaihua Qin , Dawn Song , Arthur Gervais

Bitcoin is a popular alternative to fiat money, widely used for its perceived anonymity properties. However, recent attacks on Bitcoin's peer-to-peer (P2P) network demonstrated that its gossip-based flooding protocols, which are used to…

Cryptography and Security · Computer Science 2017-03-28 Giulia Fanti , Pramod Viswanath

The widespread significance of Android IoT devices is due to its flexibility and hardware support features which revolutionized the digital world by introducing exciting applications almost in all walks of daily life, such as healthcare,…

Cryptography and Security · Computer Science 2021-06-29 Rajesh Kumar , WenYong Wang , Jay Kumar , Zakria , Ting Yang , Waqar Ali

With emergence of blockchain technologies and the associated cryptocurrencies, such as Bitcoin, understanding network dynamics behind Blockchain graphs has become a rapidly evolving research direction. Unlike other financial networks, such…

Stubborn mining attack greatly downgrades Bitcoin throughput and also benefits malicious miners (attackers). This paper aims to quantify the impact of block receiving delay on stubborn mining attack severity in imperfect Bitcoin networks.…

Cryptography and Security · Computer Science 2023-09-14 Haoran Zhu , Xiaolin Chang , Jelena Mišić , Vojislav B. Mišić

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…

Computational Finance · Quantitative Finance 2024-05-01 Hulusi Mehmet Tanrikulu , Hakan Pabuccu

This study presents an innovative approach for predicting cryptocurrency time series, specifically focusing on Bitcoin, Ethereum, and Litecoin. The methodology integrates the use of technical indicators, a Performer neural network, and…

Computational Finance · Quantitative Finance 2024-03-07 Mohammad Ali Labbaf Khaniki , Mohammad Manthouri

The rapid evolution of the Ethereum network necessitates sophisticated techniques to ensure its robustness against potential threats and to maintain transparency. While Graph Neural Networks (GNNs) have pioneered anomaly detection in such…

Machine Learning · Computer Science 2023-10-03 Stefan Kambiz Behfar , Jon Crowcroft

Bitcoin and Ethereum are the top two blockchain-based cryptocurrencies whether from cryptocurrency market cap or popularity. However, they are vulnerable to selfish mining and stubborn mining due to that both of them adopt Proof-of-Work…

Cryptography and Security · Computer Science 2021-12-07 Runkai Yang , Xiaolin Chang , Jelena Mišić , Vojislav B. Mišić

The rapid evolution of cyber threats has outpaced traditional detection methodologies, necessitating innovative approaches capable of addressing the adaptive and complex behaviors of modern adversaries. A novel framework was introduced,…

Cryptography and Security · Computer Science 2025-08-11 Ignatius Rollere , Caspian Hartsfield , Seraphina Courtenay , Lucian Fenwick , Aurelia Grunwald

The core of many cryptocurrencies is the decentralised validation network operating on proof-of-work technology. In these systems, validation is done by so-called miners who can digitally sign blocks once they solve a computationally-hard…

Cryptography and Security · Computer Science 2023-05-04 Sheng-Nan Li , Carlo Campajola , Claudio J. Tessone

Blockchain and blockchain-inspired decentralized applications are on the rise thanks to their unique characteristics such as their decentralized nature, anonymity, and tamper-proof nature; however, blockchain transactions tend to experience…

Cryptography and Security · Computer Science 2026-04-08 Yi Lyu

In recent years, cryptocurrencies have attracted growing attention from both private investors and institutions. Among them, Bitcoin stands out for its impressive volatility and widespread influence. This paper explores the predictability…

Statistical Finance · Quantitative Finance 2025-04-29 Grégory Bournassenko

Blockchain-based cryptocurrencies, such as Bitcoin, have seen on the rise in their popularity and value, making them a target to several forms of Denial-of-Service (DoS) attacks, and calling for a better understanding of their attack…

Cryptography and Security · Computer Science 2021-01-05 Muhammad Saad , Joongheon Kim , DaeHun Nyang , David Mohaisen