Image de couverture de livre

The Doge of Wall Street: Analysis and Detection of Pump and Dump Cryptocurrency Manipulations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	La Morgia, Massimo, Mei, Alessandro, Sassi, Francesco, Stefa, Julinda
Format:	Preprint
Publié:	2021
Sujets:	Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations
par: La Morgia, Massimo, et autres
Publié: (2020)

Token Spammers, Rug Pulls, and SniperBots: An Analysis of the Ecosystem of Tokens in Ethereum and in the Binance Smart Chain (BNB)
par: Cernera, Federico, et autres
Publié: (2022)

The Conspiracy Money Machine: Uncovering Telegram's Conspiracy Channels and their Profit Model
par: Imperati, Vincenzo, et autres
Publié: (2023)

TGDataset: Collecting and Exploring the Largest Telegram Channels Dataset
par: La Morgia, Massimo, et autres
Publié: (2023)

\textsc{Perseus}: Tracing the Masterminds Behind Cryptocurrency Pump-and-Dump Schemes
par: Fu, Honglin, et autres
Publié: (2025)

A Game of NFTs: Characterizing NFT Wash Trading in the Ethereum Blockchain
par: La Morgia, Massimo, et autres
Publié: (2022)

Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements
par: La Morgia, Massimo, et autres
Publié: (2021)

Microstructure and Manipulation: Quantifying Pump-and-Dump Dynamics in Cryptocurrency Markets
par: Karbalaii, Mahya
Publié: (2025)

Improving Cryptocurrency Pump-and-Dump Detection through Ensemble-Based Models and Synthetic Oversampling Techniques
par: Yu, Jieun, et autres
Publié: (2025)

The rise and fall of WallStreetBets: social roles and opinion leaders across the GameStop saga
par: Mancini, Anna, et autres
Publié: (2024)

Cryptocurrency Network Analysis
par: Tovanich, Natkamon, et autres
Publié: (2025)

The Actual Usage Of Cryptocurrency By Individuals
par: Quttainah, Fahed
Publié: (2025)

The Harsh Truth: Segment-Level Analysis of Harsh Driving Events in Milan Using Large-Scale Telematics, Street Networks, and Google Street View
par: La Grotteria, Andrea, et autres
Publié: (2026)

A Midsummer Meme's Dream: Investigating Market Manipulations in the Meme Coin Ecosystem
par: Mongardini, Alberto Maria, et autres
Publié: (2025)

PumpSense: Real-Time Detection and Target Extraction of Crypto Pump-and-Dumps on Telegram
par: Mahrous, Ahmed, et autres
Publié: (2026)

Real-CATS: A Practical Training Ground for Emerging Research on Cryptocurrency Cybercrime Detection
par: Shi, Jiadong, et autres
Publié: (2025)

Global Trends in Cryptocurrency Regulation: An Overview
par: Xiong, Xihan, et autres
Publié: (2024)

MemeChain: A Multimodal Cross-Chain Dataset for Meme Coin Forensics and Risk Analysis
par: Mongardini, Alberto Maria, et autres
Publié: (2026)

StreetWeave: A Declarative Grammar for Street-Overlaid Visualization of Multivariate Data
par: Srabanti, Sanjana, et autres
Publié: (2025)

Machine Learning-Based Detection of Pump-and-Dump Schemes in Real-Time
par: Bolz, Manuel, et autres
Publié: (2024)

Quantifying the Vulnerabilities of the Online Public Square to Adversarial Manipulation Tactics
par: Truong, Bao Tran, et autres
Publié: (2019)

Budgeting Discretion: Theory and Evidence on Street-Level Decision-Making
par: Pokharel, Gaurab, et autres
Publié: (2026)

Interplay between Cryptocurrency Transactions and Online Financial Forums
par: Vilas, Ana Fernández, et autres
Publié: (2023)

Diagnosing Urban Street Vitality via a Visual-Semantic and Spatiotemporal Framework for Street-Level Economics
par: Zhuo, Xinxin, et autres
Publié: (2026)

Evaluating AI capabilities in detecting conspiracy theories on YouTube
par: La Rocca, Leonardo, et autres
Publié: (2025)

The Security Performance Analysis of Blockchain System Based on Post-Quantum Cryptography -- A Case Study of Cryptocurrency Exchanges
par: Chen, Abel C. H.
Publié: (2024)

Street design and driving behavior: evidence from a large-scale study in Milan, Amsterdam, and Dubai
par: Orsi, Giacomo, et autres
Publié: (2025)

The Impact of Artificial Intelligence on Strategic Technology Management: A Mixed-Methods Analysis of Resources, Capabilities, and Human-AI Collaboration
par: Fascinari, Massimo, et autres
Publié: (2025)

OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
par: La Cava, Lucio, et autres
Publié: (2025)

What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap
par: Qu, Ao, et autres
Publié: (2024)

Deciphering the Crypto-shopper: Knowledge and Preferences of Consumers Using Cryptocurrencies for Purchases
par: Silenzi, Massimiliano, et autres
Publié: (2023)

Privacy of Groups in Dense Street Imagery
par: Franchi, Matt, et autres
Publié: (2025)

Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality
par: Nazemi, Mohsen, et autres
Publié: (2024)

Do Street View Imagery and Public Participation GIS align: Comparative Analysis of Urban Attractiveness
par: Malekzadeh, Milad, et autres
Publié: (2025)

Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
par: La Cava, Lucio, et autres
Publié: (2024)

How to Detect Information Voids Using Longitudinal Data from Social Media and Web Searches
par: Scalco, Irene, et autres
Publié: (2026)

Community Notes are Vulnerable to Rater Bias and Manipulation
par: Truong, Bao Tran, et autres
Publié: (2025)

HEAPO -- An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols
par: Brudermueller, Tobias, et autres
Publié: (2025)

Tracking Walls, Take-It-Or-Leave-It Choices, the GDPR, and the ePrivacy Regulation
par: Borgesius, Frederik J. Zuiderveen, et autres
Publié: (2025)

Classification Drives Geographic Bias in Street Scene Segmentation
par: Nair, Rahul, et autres
Publié: (2024)