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LSTM-TC: Bitcoin coin mixing detection method with a high recall
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4614-4139-7_10openalex-snapshot
An Analysis of Anonymity in the Bitcoin System
inferredcites →https://doi.org/10.1007/978-3-030-66172-4_27openalex-snapshot
Zerojoin: Combining Zerocoin and CoinJoin
inferredcites →https://doi.org/10.1007/978-3-319-11212-1_20openalex-snapshot
CoinShuffle: Practical Decentralized Coin Mixing for Bitcoin
inferredcites →https://doi.org/10.1007/978-3-642-39884-1_2openalex-snapshot
Quantitative Analysis of the Full Bitcoin Transaction Graph
inferredcites →https://doi.org/10.1007/978-3-642-39884-1_4openalex-snapshot
Evaluating User Privacy in Bitcoin
inferredcites →https://doi.org/10.1007/978-3-662-45472-5_29openalex-snapshot
BitIodine: Extracting Intelligence from the Bitcoin Network
inferredcites →https://doi.org/10.1007/978-3-662-45472-5_31openalex-snapshot
Mixcoin: Anonymity for Bitcoin with Accountable Mixes
inferredcites →https://doi.org/10.1007/978-3-662-48051-9_10openalex-snapshot
Privacy-Enhancing Overlays in Bitcoin
inferredcites →https://doi.org/10.1007/978-3-662-48051-9_9openalex-snapshot
Blindcoin: Blinded, Accountable Mixes for Bitcoin
inferredcites →https://doi.org/10.1007/s11432-019-2983-0openalex-snapshot
A probabilistic risk assessment framework considering lane-changing behavior interaction
inferredcites →https://doi.org/10.1007/s11432-019-9900-9openalex-snapshot
Identifying the vulnerabilities of bitcoin anonymous mechanism based on address clustering
inferredcites →https://doi.org/10.1016/j.future.2016.05.018openalex-snapshot
Secure and anonymous decentralized Bitcoin mixing
inferredcites →https://doi.org/10.1109/eiconrus.2019.8656687openalex-snapshot
Detection of Blockchain Transactions Used in Blockchain Mixer of Coin Join Type
inferredcites →https://doi.org/10.1109/icmla.2017.0-118openalex-snapshot
Automatic Bitcoin Address Clustering
inferredcites →https://doi.org/10.1109/icufn.2019.8806126openalex-snapshot
A Model for Detecting Cryptocurrency Transactions with Discernible Purpose
inferredcites →https://doi.org/10.1109/trustcom/bigdatase/icess.2017.280openalex-snapshot
Anonymous CoinJoin Transactions with Arbitrary Values
inferredcites →https://doi.org/10.1109/tsmc.2020.3016821openalex-snapshot
Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding
inferredcites →https://doi.org/10.1145/2665943.2665955openalex-snapshot
Sybil-Resistant Mixing for Bitcoin
inferredcites →https://doi.org/10.3390/fi5020237openalex-snapshot
Structure and Anonymity of the Bitcoin Transaction Graph
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1502.01657openalex-snapshot
Bitcoin Transaction Graph Analysis
inferredcites →https://doi.org/10.48550/arxiv.1510.07782openalex-snapshot
Research on Anonymization and De-anonymization in the Bitcoin System
inferredcites →https://doi.org/10.48550/arxiv.1908.02591openalex-snapshot
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.9781/ijimai.2020.03.004openalex-snapshot
Innovation and Challenges of Blockchain in Banking: A Scientometric View.
inferredcites →https://doi.org/10.9781/ijimai.2020.08.005openalex-snapshot
Blockchain-Enabled Platforms: Challenges and Recommendations.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4530479openalex-extracted
Machine Learning on Blockchain Data: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.1002/asi.70009openalex-snapshot
Machine learning on blockchain data: A systematic mapping study. An Annual Review of Information Science and Technology (ARIST) paper
inferred← citeshttps://doi.org/10.1002/nem.70052openalex-snapshot
Coin Mixing Protocols: A Structured Evaluation and Review of Detection Methods
inferred← citeshttps://doi.org/10.1007/978-981-95-3729-7_30openalex-snapshot
A Spatio-Temporal Graph Attention Approach to Detecting Bitcoin Mixers
inferred← citeshttps://doi.org/10.1007/s00500-023-08220-xopenalex-snapshot
CTDM: cryptocurrency abnormal transaction detection method with spatio-temporal and global representation
inferred← citeshttps://doi.org/10.1007/s10489-022-03378-7openalex-snapshot
Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification
inferred← citeshttps://doi.org/10.1007/s10489-022-04248-yopenalex-snapshot
A multi-view convolutional neural network based on cross-connection and residual-wider
inferred← citeshttps://doi.org/10.1007/s10489-023-04581-wopenalex-snapshot
Amplitude transformed quantum convolutional neural network
inferred← citeshttps://doi.org/10.1007/s13132-025-02857-9openalex-snapshot
Exploring the role of Artificial Intelligence in Cryptocurrency Evolution: A Systematic Review and Bibliometric Analysis at the Intersection
inferred← citeshttps://doi.org/10.1016/j.dcan.2024.08.010openalex-snapshot
Multi-class Bitcoin mixing service identification based on graph classification
inferred← citeshttps://doi.org/10.1016/j.dsm.2022.04.003openalex-snapshot
Effect of data resampling on feature importance in imbalanced blockchain data: comparison studies of resampling techniques
inferred← citeshttps://doi.org/10.1016/j.fsidi.2023.301614openalex-snapshot
Analyzing the peeling chain patterns on the Bitcoin blockchain
inferred← citeshttps://doi.org/10.1016/j.ribaf.2022.101799openalex-snapshot
Past, present, and future of the application of machine learning in cryptocurrency research
inferred← citeshttps://doi.org/10.1049/blc2.12036openalex-snapshot
Mixing detection on Bitcoin transactions using statistical patterns
inferred← citeshttps://doi.org/10.1049/blc2.70021openalex-snapshot
Mixing Services in Bitcoin and Ethereum Ecosystems: A Review
inferred← citeshttps://doi.org/10.1108/jfc-11-2022-0269openalex-snapshot
The Satoshi laundromat: a review on the money laundering open door of Bitcoin mixers
inferred← citeshttps://doi.org/10.1109/access.2023.3288026openalex-snapshot
Graph Neural Network-Based Bitcoin Transaction Tracking Model
inferred← citeshttps://doi.org/10.1109/icbc64466.2025.11185066openalex-snapshot
Topological Analysis of Mixer Activities in the Bitcoin Network
inferred← citeshttps://doi.org/10.1109/icws72778.2026.00061openalex-snapshot
Mix and Match: Flexible De-Mixing of Bitcoin Mixers
inferred← citeshttps://doi.org/10.1109/ipccc59175.2023.10253883openalex-snapshot
Bitcoin Mixing Service Detection Based on Spatio-Temporal Information Representation of Transaction Graph
inferred← citeshttps://doi.org/10.1109/jiot.2025.3631547openalex-snapshot
Federated Graph Neural Network for Real-Time Distributed Monitoring System Against Illicit Blockchain Transaction Accounts
inferred← citeshttps://doi.org/10.1109/tcss.2025.3623272openalex-snapshot
Exposing Disguises and Tracing Illicit Flows: Dual-View Graph Representation Learning for Money Laundering Detection
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3238412openalex-snapshot
Improving Cryptocurrency Crime Detection: CoinJoin Community Detection Approach
inferred← citeshttps://doi.org/10.1109/tnse.2026.3664284openalex-snapshot
Fine-Grained Detection for Bitcoin Mixing Services Using Heterogeneous Representation Learning
inferred← citeshttps://doi.org/10.1109/tsusc.2023.3303180openalex-snapshot
Privacy Evaluation of Blockchain Based Privacy Cryptocurrencies: A Comparative Analysis of Dash, Monero, Verge, Zcash, and Grin
inferred← citeshttps://doi.org/10.1145/3583073openalex-snapshot
An Anonymous and Supervisory Cross-chain Privacy Protection Protocol for Zero-trust IoT Application
inferred← citeshttps://doi.org/10.1145/3676164openalex-snapshot
On Identity, Transaction, and Smart Contract Privacy on Permissioned and Permissionless Blockchain: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1145/3677525.3678633openalex-snapshot
JoinDetect: A Data-Led Machine Learning Approach to Detection of Coinjoin Transactions
inferred← citeshttps://doi.org/10.1145/3705296openalex-snapshot
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective
inferred← citeshttps://doi.org/10.32604/cmc.2025.061964openalex-snapshot
HNND: Hybrid Neural Network Detection for Blockchain Abnormal Transaction Behaviors
inferred← citeshttps://doi.org/10.48035/tesis/2454/44259openalex-snapshot
Behavioral analysis in cybersecurity using machine learning: a study based on graph representation, class imbalance and temporal dissection
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