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A Tale of Two Markets: Investigating the Ransomware Payments Economy
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1093/cybsec/tyz003openalex-snapshot
Ransomware payments in the Bitcoin ecosystem
inferredcites →https://doi.org/10.1109/tnsm.2020.3046145openalex-snapshot
Cyber Security Threats to Bitcoin Exchanges: Adversary Exploitation and Laundering Techniques
inferredcites →https://doi.org/10.1145/3494557openalex-snapshot
A Large-scale Empirical Analysis of Ransomware Activities in Bitcoin
inferredcites →https://doi.org/10.48550/arxiv.1709.02489openalex-snapshot
BlockSci: Design and applications of a blockchain analysis platform
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-50670-3_16openalex-snapshot
Double-Sided Information Asymmetry in Double Extortion Ransomware
inferred← citeshttps://doi.org/10.1007/978-3-031-66245-4_16openalex-snapshot
The Malware as a Service Ecosystem
inferred← citeshttps://doi.org/10.1007/978-3-031-66271-3_10openalex-snapshot
Statistical Modeling of Ransomware Attacks Trends
inferred← citeshttps://doi.org/10.1007/s10207-023-00766-zopenalex-snapshot
Cashing out crypto: state of practice in ransom payments
inferred← citeshttps://doi.org/10.1007/s12117-023-09505-1openalex-snapshot
From payday to payoff: Exploring the money laundering strategies of cybercriminals
inferred← citeshttps://doi.org/10.1016/j.cose.2026.104909openalex-snapshot
RanDS: A large-Scale open dataset of raw binaries and extracted features for ransomware research
inferred← citeshttps://doi.org/10.1109/access.2023.3235409openalex-snapshot
Quantifying Dark Web Shops’ Illicit Revenue
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11401606openalex-snapshot
Measuring Onion Website Discovery and Tor Users' Interests with Honeypots
inferred← citeshttps://doi.org/10.1109/csnet64211.2024.10851749openalex-snapshot
Ransomwise: A Transaction-Based Dataset for Ransomware Bitcoin Wallet Detection
inferred← citeshttps://doi.org/10.1109/ecrime57793.2022.10142119openalex-snapshot
Money Over Morals: A Business Analysis of Conti Ransomware
inferred← citeshttps://doi.org/10.1109/ecrime57793.2022.10142138openalex-snapshot
Ransomware: How attacker’s effort, victim characteristics and context influence ransom requested, payment and financial loss
inferred← citeshttps://doi.org/10.1109/ecrime61234.2023.10485506openalex-snapshot
Ransomware Economics: A Two-Step Approach To Model Ransom Paid
inferred← citeshttps://doi.org/10.1109/ecrime66200.2024.00017openalex-snapshot
Showing the Receipts: Understanding the Modern Ransomware Ecosystem
inferred← citeshttps://doi.org/10.1109/ecrime66972.2025.11327913openalex-snapshot
From Lamborghinis to Ladas: Empirical Analysis of LockBit’s Business Operations
inferred← citeshttps://doi.org/10.1109/icbc64466.2025.11114529openalex-snapshot
Bitcoin Battle: Burning Bitcoin for Geopolitical Fun and Profit
inferred← citeshttps://doi.org/10.1109/incitest59455.2023.10396943openalex-snapshot
Ransomware Resilience: Investigating Organizational Security Culture and Its Impact on Cybersecurity Practices against Ransomware Threats
inferred← citeshttps://doi.org/10.1109/raid67961.2025.00056openalex-snapshot
Revealing Informed Scanners by Colocating Reactive and Passive Telescopes
inferred← citeshttps://doi.org/10.1145/3576915.3623094openalex-snapshot
Cybercrime Bitcoin Revenue Estimations: Quantifying the Impact of Methodology and Coverage
inferred← citeshttps://doi.org/10.1186/s40163-024-00212-yopenalex-snapshot
Conti Inc.: understanding the internal discussions of a large ransomware-as-a-service operator with machine learning
inferred← citeshttps://doi.org/10.20944/preprints202311.0676.v1openalex-snapshot
Using Large Language Models to Mitigate Ransomware Threats
inferred← citeshttps://doi.org/10.20944/preprints202311.1147.v1openalex-snapshot
Enhanced Ransomware Identification via Feature Extraction with Class Feature Weighting
inferred← citeshttps://doi.org/10.20944/preprints202311.1286.v1openalex-snapshot
A Few-Shot Learning Approach with a Twin Neural Network Utilizing Entropy Features for Ransomware Classification
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3689581/v1openalex-snapshot
LLaMa Assisted Reverse Engineering of Modern Ransomware: A Comparative Analysis with Early Crypto-Ransomware
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3736872/v1openalex-snapshot
Applying Markov Decision Processes to Evaluate Ransomware Data Theft Risks
inferred← citeshttps://doi.org/10.31219/osf.io/d4atnopenalex-snapshot
Enhanced Ransomware Identification via Feature Extraction with Class Feature Weighting
inferred← citeshttps://doi.org/10.31219/osf.io/nzft9openalex-snapshot
Enhanced Ransomware Identification via Feature Extraction with Class Feature Weighting
inferred← citeshttps://doi.org/10.4018/979-8-3693-3661-8.ch011openalex-snapshot
Enhancing Cybersecurity Protocols in Modern Healthcare Systems
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