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STSIIML: Study on token shuffling under incomplete information based on machine learning

https://doi.org/10.1002/int.23033
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.22277openalex-snapshot
A game‐theoretic approach of mixing different qualities of coins
inferredcites →https://doi.org/10.1002/int.22337openalex-snapshot
ImpSuic: A quality updating rule in mixing coins with maximum utilities
inferredcites →https://doi.org/10.1002/int.22428openalex-snapshot
Semi‐selfish mining based on hidden Markov decision process
inferredcites →https://doi.org/10.1002/int.22656openalex-snapshot
Is semi‐selfish mining available without being detected?
inferredcites →https://doi.org/10.1007/978-3-319-11212-1_20openalex-snapshot
CoinShuffle: Practical Decentralized Coin Mixing for Bitcoin
inferredcites →https://doi.org/10.1007/978-3-319-70278-0_18openalex-snapshot
Mixing Coins of Different Quality: A Game-Theoretic Approach
inferredcites →https://doi.org/10.1007/978-3-662-47854-7_32openalex-snapshot
Secure High-Rate Transaction Processing in Bitcoin
inferredcites →https://doi.org/10.1007/s13042-020-01242-zopenalex-snapshot
Adversarial examples: attacks and defenses in the physical world
inferredcites →https://doi.org/10.1016/0899-8256(89)90005-5openalex-snapshot
Psychological games and sequential rationality
inferredcites →https://doi.org/10.1016/j.asoc.2020.106605openalex-snapshot
Adversarial behaviours in mixing coins under incomplete information
inferredcites →https://doi.org/10.1016/j.dcan.2021.10.002openalex-snapshot
On-chain is not enough: Ensuring pre-data on the chain credibility for blockchain-based source-tracing systems
inferredcites →https://doi.org/10.1016/j.future.2016.05.018openalex-snapshot
Secure and anonymous decentralized Bitcoin mixing
inferredcites →https://doi.org/10.1016/j.ins.2018.10.057openalex-snapshot
Randomness invalidates criminal smart contracts
inferredcites →https://doi.org/10.1016/j.ins.2020.03.066openalex-snapshot
Adversarial attacks on deep-learning-based radar range profile target recognition
inferredcites →https://doi.org/10.1017/9781911116448.006openalex-snapshot
Bitcoin and Money Laundering: Mining for an effective solution
inferredcites →https://doi.org/10.1109/access.2018.2827163openalex-snapshot
Unlinkable Coin Mixing Scheme for Transaction Privacy Enhancement of Bitcoin
inferredcites →https://doi.org/10.1109/comst.2018.2818623openalex-snapshot
A Survey on Anonymity and Privacy in Bitcoin-Like Digital Cash Systems
inferredcites →https://doi.org/10.1109/csicc52343.2021.9420621openalex-snapshot
Designing a New Method for Detecting Money Laundering based on Social Network Analysis
inferredcites →https://doi.org/10.1109/ecrs.2013.6805780openalex-snapshot
An inquiry into money laundering tools in the Bitcoin ecosystem
inferredcites →https://doi.org/10.1109/tifs.2021.3127023openalex-snapshot
Dynamic Multi-Key FHE in Asymmetric Key Setting From LWE
inferredcites →https://doi.org/10.1137/1033003openalex-snapshot
A Survey of Consistency Properties in Cooperative Game Theory
inferredcites →https://doi.org/10.1155/2020/8839047openalex-snapshot
Rational Protocols and Attacks in Blockchain System
inferredcites →https://doi.org/10.1155/2021/5959698openalex-snapshot
ForkDec: Accurate Detection for Selfish Mining Attacks
inferredcites →https://doi.org/10.1257/jep.29.2.213openalex-snapshot
Bitcoin: Economics, Technology, and Governance
inferredcites →https://doi.org/10.1515/popets-2018-0015openalex-snapshot
Möbius: Trustless Tumbling for Transaction Privacy

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Machine learning-based computation offloading in edge and fog: a systematic review
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Transfer learning based cascaded deep learning network and mask recognition for COVID-19
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inferred← citeshttps://doi.org/10.1016/j.talanta.2026.129802openalex-snapshot
A review on AI-enabled drug design in medicinal chemistry: Analytical validation, challenges, and regulatory considerations
inferred← citeshttps://doi.org/10.1109/jiot.2023.3306778openalex-snapshot
Multifactor Incentive Mechanism for Federated Learning in IoT: A Stackelberg Game Approach
inferred← citeshttps://doi.org/10.1109/trustcom60117.2023.00058openalex-snapshot
A Commitment and Ring Signature based Scheme for Amount and Identity Privacy Protection in Blockchain
inferred← citeshttps://doi.org/10.1155/2023/6217495openalex-snapshot
A Multidimensional Data Utility Evaluation and Pricing Scheme in the Big Data Market
inferred← citeshttps://doi.org/10.1186/s13677-022-00333-2openalex-snapshot
A designated verifier multi-signature scheme in multi-clouds
inferred← citeshttps://doi.org/10.1186/s13677-023-00495-7openalex-snapshot
ROMSS: a rational optional multi-secret sharing scheme based on reputation mechanism
inferred← citeshttps://doi.org/10.1186/s13677-023-00586-5openalex-snapshot
Cloud-SMPC: two-round multilinear maps secure multiparty computation based on LWE assumption
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2056175/v1openalex-snapshot
An Effective Security Comparison Protocol in Cloud Computing
inferred← citeshttps://doi.org/10.32604/cmc.2023.037532openalex-snapshot
Lightweight Storage Framework for Blockchain-Enabled Internet of Things Under Cloud Computing
inferred← citeshttps://doi.org/10.32604/cmc.2023.037783openalex-snapshot
An Effective Security Comparison Protocol in Cloud Computing
inferred← citeshttps://doi.org/10.32604/cmc.2023.046907openalex-snapshot
An Innovative K-Anonymity Privacy-Preserving Algorithm to Improve Data Availability in the Context of Big Data
inferred← citeshttps://doi.org/10.32604/cmes.2023.026920openalex-snapshot
Vertical Federated Learning Based on Consortium Blockchain for Data Sharing in Mobile Edge Computing
inferred← citeshttps://doi.org/10.3390/sym15020443openalex-snapshot
Collaborative Energy Price Computing Based on Sarima-Ann and Asymmetric Stackelberg Games
inferred← citeshttps://doi.org/10.37380/jisib.v13i2.1084openalex-snapshot
A comparative analysis with machine learning of public data governance and AI policies in the European Union, United States, and China
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