[1] 张亮, 刘百祥, 张如意, 等. 区块链技术综述
[J]. 计算机工程, 2019, 45(5): 1-12.(Zhang, L.,
Liu, B.-X., Zhang, R.-Y., et al. (2019).
Overview of blockchain technology. Computer
Engineering, 45(4), 1-12.)
[2] 刘敖迪, 杜学绘, 王娜, 等. 区块链技术及其
在信息安全领域的研究进展 [J]. 软件学报,
2018, 29(7): 2092-2115.(Liu, A.-D., Du, X.-H.,
Wang, N., et al. (2018). Research Progress of
Blockchain Technology and Its Applications in
Information Security. Journal of Software, 29(7),
2092-2115.)
[3] 李旭东, 牛玉坤, 魏凌波, 等. 比特币隐私保
护综述[J/OL]. 密码学报, 2019, 6(2): 133-149.
(Li, X.-D., Niu, Y.-K., Wei, L.-B., et al. (2019).
A Survey on Bitcoin Privacy Protection. Journal
of Cryptologic Research, 6(2), 133-149.)
[4] SEE K. The Satoshi laundromat: a review on the
money laundering open door of Bitcoin
mixers[J]. Journal of Financial Crime, 2024,
31(2): 416-426.
[5] CHAWKI M. Cybercrime and the Regulation of
Cryptocurrencies[M/OL]//ARAI K. Advances in
Information and Communication: 卷 439.
Cham: Springer International Publishing, 2022:
694-713[2024-05-11].
[6] CRAWFORD J, GUAN Y. Knowing your
Bitcoin Customer: Money Laundering in the
Bitcoin Economy[C/OL]//2020 13th
International Conference on Systematic
Approaches to Digital Forensic Engineering
(SADFE). 2020: 38-45.
[7] PAKKI J, SHOSHITAISHVILI Y, WANG R, et
al. Everything You Ever Wanted to Know About
Bitcoin Mixers (But Were Afraid to
Ask)[M/OL]//BORISOV N, DIAZ C. Financial
Cryptography and Data Security: 卷 12674. Berlin, Heidelberg: Springer Berlin Heidelberg,
2021: 117-146[2024-03-26].
[8] 宋靖文, 张大伟, 韩旭, 等. 区块链中可监管
的身份隐私保护方案[J/OL]. 软件学报, 2023,
34(7): 3292-3312.(Song, J.-W., Zhang, D.-W.,
Han, X., et al. (2023). A Regulatable Identity
Privacy Protection Scheme in Blockchain.
Journal of Software, 34(7), 3292-3312.)
[9] 王群,李馥娟,倪雪莉,等.区块链隐私保护机制
研 究 [J].计算机工程 ,2023,49(04):1-13.(Wang,
Q., Li, F.-Y., Ni, X.-L., et al. (2023). Research
on Blockchain Privacy Protection Mechanism.
Computer Engineering, 49(04), 1-13.)
[10] 祝烈煌, 高峰, 沈蒙, 等. 区块链隐私保护研
究综述[J]. 计算机研究与发展, 2017, 54(10):
2170-2186.(Zhu, L.-H., Gao, F., Shen, M., et al.
(2017). A Survey of Privacy Protection in
Blockchain. Journal of Computer Research and
Development, 54(10), 2170-2186.)
[11] FENG Q, HE D, ZEADALLY S, et al. A survey
on privacy protection in blockchain system[J].
Journal of network and computer applications,
2019, 126: 45-58.
[12] WANG D, ZHAO J, WANG Y. A survey on
privacy protection of blockchain: The
technology and application[J]. IEEE Access,
2020, 8: 108766-108781.
[13] PENG L, FENG W, YAN Z, 等 . Privacy
preservation in permissionless blockchain: A
survey[J]. Digital Communications and
Networks, 2021, 7(3): 295-307.
[14] 王佳鑫, 颜嘉麒, 毛谦昂. 加密数字货币监管
技术研究综述[J]. 计算机应用, 2023, 43(10):
2983.(Wang, J.-X., Yan, J.-Q., & Mao, Q.-A.
(2023). A Survey on Cryptocurrency Regulatory
Technology. Journal of Computer Applications,
43(10), 2983.)
[15] 陈伟利, 郑子彬. 区块链数据分析: 现状, 趋
势与挑战[J]. 计算机研究与发展, 2018, 55(9):
1853-1870.(Chen, W.-L., & Zheng, Z.-B. (2018).
Blockchain Data Analysis: Current Status,
Trends and Challenges. Journal of Computer
Research and Development, 55(9), 1853-1870.)
[16] HOU W, CUI B, LI R. A Survey on Blockchain
Data Analysis[C/OL]//2021 IEEE 45th Annual
Computers, Software, and Applications
Conference (COMPSAC). 2021:
357-365[2024-05-11].
[17] YADAV S P, AGRAWAL K K, BHATI B S, et al.
Blockchain-Based Cryptocurrency Regulation:
An Overview[J/OL]. Computational Economics,
2022, 59(4): 1659-1675.
[18] WU J, LIU J, ZHAO Y, et al. Analysis of
cryptocurrency transactions from a network
perspective: An overview[J]. Journal of
Network and Computer Applications, 2021, 190:
103139.
[19] ZIEGELDORF J H, MATZUTT R, HENZE M,
et al. Secure and anonymous decentralized
Bitcoin mixing[J]. Future Generation Computer
Systems, 2018, 80: 448-466.
[20] BitMix.Biz[CP/OL]. [2024-05-18].
https://bitmiix.biz/.
[21] Blender.io[CP/OL]. [2024-05-18].
https://blender.io.
[22] JoinMarket[CP/OL]. [2024-05-18].
https://github.com/JoinMarket-Org/joinmarket-c
lientserver.
[23] MAURER F K, NEUDECKER T, FLORIAN M.
Anonymous CoinJoin transactions with arbitrary
values[C/OL]//2017 ieee
trustcom/bigdatase/icess. IEEE, 2017:
522-529[2024-05-09].
[24] Wasabi Wallet[CP/OL]. [2024-11-07].
https://wasabiwallet.io/.
[25] Samourai Wallet[CP/OL]. [2024-05-18].
https://samouraiwallet.com/.
[26] HOUY S, SCHMID P, BARTEL A. Security
Aspects of Cryptocurrency Wallets—A
Systematic Literature Review[J/OL]. ACM
Computing Surveys, 2024, 56(1): 1-31.
[27] LIU J K. Ring Signature[M/OL]//LI K C, CHEN
X, SUSILO W. Advances in Cyber Security:
Principles, Techniques, and Applications.
Singapore: Springer Singapore, 2019:
93-114[2024-11-06].
[28] CAO T, YU J, DECOUCHANT J, et al.
Exploring the Monero Peer-to-Peer
Network[M/OL]//BONNEAU J, HENINGER N.
Financial Cryptography and Data Security: 卷
12059. Cham: Springer International Publishing,
2020: 578-594[2024-05-09].
[29] SUN S F, AU M H, LIU J K, et al. RingCT 2.0:
A Compact Accumulator-Based (Linkable Ring
Signature) Protocol for Blockchain
Cryptocurrency Monero[M/OL]//FOLEY S N,
GOLLMANN D, SNEKKENES E. Computer
Security – ESORICS 2017: 卷 10493. Cham:
Springer International Publishing, 2017:
456-474[2024-05-09].
[30] LI Y, YANG G, SUSILO W, et al. Traceable
monero: Anonymous cryptocurrency with
enhanced accountability[J]. IEEE Transactions
on Dependable and Secure Computing, 2019,
18(2): 679-691.
[31] SUN X, YU F R, ZHANG P, et al. A survey on
zero-knowledge proof in blockchain[J]. IEEE
network, 2021, 35(4): 198-205.
[32] KAPPOS G, YOUSAF H, MALLER M, et al. An empirical analysis of anonymity in
zcash[C/OL]//27th USENIX Security
Symposium (USENIX Security 18). 2018:
463-477[2024-05-08].
[33] YOUN M, CHIN K, OMOTE K. Empirical
Analysis of Cryptocurrency Mixer: Tornado
Cash[C/OL]//2023 Congress in Computer
Science, Computer Engineering, & Applied
Computing (CSCE). IEEE, 2023:
2324-2331[2024-05-03].
[34] OU W, HUANG S, ZHENG J, et al. An
overview on cross-chain: Mechanism, platforms,
challenges and advances[J]. Computer Networks,
2022, 218: 109378.
[35] ShapeShift[CP/OL]. [2024-05-18].
https://app.shapeshift.com.
[36] changenow.io[CP/OL]. [2024-05-18].
https://changenow.io/.
[37] 陈艳姣, 朱笑天, 于永瑞, 等. 区块链闪电网
络实证分析: 拓扑, 发展和收费策略[J]. 软件
学 报 , 2021, 33(10): 3858-3873.(Chen, Y.-J.,
Zhu, X.-T., Yu, Y.-R., et al. (2021). An
Empirical Analysis of Blockchain Lightning
Network: Topology, Development and Fee
Strategy. Journal of Software, 33(10),
3858-3873.)
[38] DIVAKARUNI A, ZIMMERMAN P. The
lightning network: Turning bitcoin into
money[J]. Finance Research Letters, 2023, 52:
103480.
[39] ALSABAH M, GOLDBERG I. Performance and
Security Improvements for Tor: A Survey[J/OL].
ACM Computing Surveys, 2017, 49(2): 1-36.
[40] DASGUPTA D, SHREIN J M, GUPTA K D. A
survey of blockchain from security
perspective[J/OL]. Journal of Banking and
Financial Technology, 2019, 3(1): 1-17.
[41] RAIKWAR M, GLIGOROSKI D. DoS Attacks
on Blockchain Ecosystem[M/OL]//CHAVES R,
B. HERAS D, ILIC A, et al. Euro-Par 2021:
Parallel Processing Workshops: 卷 13098.
Cham: Springer International Publishing, 2022:
230-242[2024-05-18].
[42] HEILMAN E, ALSHENIBR L, BALDIMTSI F,
et al. Tumblebit: An untrusted
bitcoin-compatible anonymous payment
hub[C/OL]//Network and distributed system
security symposium. 2017[2024-05-18].
[43] BARAVALLE A, LEE S W. Dark web markets:
Turning the lights on AlphaBay[C/OL]//Web
Information Systems Engineering–WISE 2018:
19th International Conference, Dubai, United
Arab Emirates, November 12-15, 2018,
Proceedings, Part II 19. Springer, 2018:
502-514[2024-05-19].
[44] Bitcoin Fog[CP/OL]. [2024-05-18].
https://bitcoinfog.info/.
[45] CoinMixer[CP/OL]. [2024-05-18].
https://coinmixer.app/index.htm.
[46] BestMixer[CP/OL]. [2024-05-18].
https://bestmixer.io.
[47] Cryptomixer[CP/OL]. [2024-05-18].
https://cryptomixer.io.
[48] BONNEAU J, NARAYANAN A, MILLER A, et
al. Mixcoin: Anonymity for Bitcoin with
Accountable Mixes[M/OL]//CHRISTIN N,
SAFAVI-NAINI R. Financial Cryptography and
Data Security: 卷 8437. Berlin, Heidelberg:
Springer Berlin Heidelberg, 2014:
486-504[2024-05-18].
[49] BitLaundry[CP/OL]. [2024-05-18].
https://bitcoinlaundry.net/.
[50] MixTum[CP/OL]. [2024-05-18].
https://mixtum.io/.
[51] BitLaunder[CP/OL]. [2024-05-18].
https://whir.to/?ref=rs1aalji.
[52] VALENTA L, ROWAN B. Blindcoin: Blinded,
Accountable Mixes for
Bitcoin[M/OL]//BRENNER M, CHRISTIN N,
JOHNSON B, et al. Financial Cryptography and
Data Security: 卷 8976. Berlin, Heidelberg:
Springer Berlin Heidelberg, 2015:
112-126[2024-05-18].
[53] IBRAHIM M H. Securecoin: a robust secure and
efficient protocol for anonymous bitcoin
ecosystem.[J]. Int. J. Netw. Secur., 2017, 19(2):
295-312.
[54] BISSIAS G, OZISIK A P, LEVINE B N, et al.
Sybil-Resistant Mixing for
Bitcoin[C/OL]//Proceedings of the 13th
Workshop on Privacy in the Electronic Society.
New York, NY, USA: Association for
Computing Machinery, 2014:
149-158[2024-05-18].
[55] ChipMixer[CP/OL]. [2024-05-18].
https://chipmixer.com.
[56] Tornado Cash[CP/OL]. [2024-05-18].
https://tornadoeth.cash/.
[57] ZIEGELDORF J H, GROSSMANN F, HENZE
M, et al. CoinParty: Secure Multi-Party Mixing
of Bitcoins[C/OL]//Proceedings of the 5th ACM
Conference on Data and Application Security
and Privacy. San Antonio Texas USA: ACM,
2015: 75-86[2024-05-18].
[58] Coinjoin[CP/OL]. [2024-05-18].
https://coinjoin.io.
[59] RUFFING T, MORENO-SANCHEZ P, KATE A.
CoinShuffle: Practical Decentralized Coin
Mixing for Bitcoin[M/OL]//KUTYŁOWSKI M, VAIDYA J. Computer Security - ESORICS 2014:
卷 8713. Cham: Springer International
Publishing, 2014: 345-364[2024-05-18].
[60] Chainalysis-crypto-crime-2024[R/OL].
[2024-05-18].
https://go.chainalysis.com/crypto-crime-2024.ht
ml.
[61] Indictment Charges Two in $230 Million
Cryptocurrency Scam[N/OL]. [2024-11-07].
https://www.justice.gov/usao-dc/pr/indictment-c
harges-two-230-million-cryptocurrency-scam.
[62] Individual Arrested and Charged with Operating
Notorious Darknet Cryptocurrency
“Mixer”[N/OL]. [2024-05-18].
https://www.justice.gov/opa/pr/individual-arrest
ed-and-charged-operating-notorious-darknet-cry
ptocurrency-mixer.
[63] Ohio Resident Pleads Guilty to Operating
Darknet-Based Bitcoin ‘Mixer’ That Laundered
Over $300 Million[N/OL]. [2024-05-18].
https://www.justice.gov/opa/pr/ohio-resident-ple
ads-guilty-operating-darknet-based-bitcoin-mix
er-laundered-over-300-million.
[64] U.S. Treasury Issues First-Ever Sanctions on a
Virtual Currency Mixer, Targets DPRK Cyber
Threats[N/OL]. [2024-05-18].
https://home.treasury.gov/news/press-releases/jy
0768.
[65] U.S. Treasury Sanctions Notorious Virtual
Currency Mixer Tornado Cash[N/OL].
[2024-05-18].
https://home.treasury.gov/news/press-releases/jy
0916.
[66] Justice Department Investigation Leads to
Takedown of Darknet Cryptocurrency Mixer
that Processed Over $3 Billion of Unlawful
Transactions[N/OL]. [2024-05-18].
https://www.justice.gov/opa/pr/justice-departme
nt-investigation-leads-takedown-darknet-crypto
currency-mixer-processed-over-3.
[67] U.S. Sanctions Crypto Mixer Sinbad.io for Role
in North Korean Laundering Activities[N/OL].
[2024-05-18].
https://www.chainalysis.com/blog/crypto-mixersinbad-sactioned-north-korean-laundering/.
[68] Bitcoin Fog Operator Convicted of Money
Laundering Conspiracy[N/OL]. [2024-05-18].
https://www.justice.gov/opa/pr/bitcoin-fog-oper
ator-convicted-money-laundering-conspiracy.
[69] Founders And CEO Of Cryptocurrency Mixing
Service Arrested And Charged With Money
Laundering And Unlicensed Money
Transmitting Offenses[N/OL]. [2024-11-07].
https://www.justice.gov/usao-sdny/pr/foundersand-ceo-cryptocurrency-mixing-service-arrested
-and-charged-money-laundering.
[70] HOLT T J, LEE J R, GRIFFITH E. An
Assessment of Cryptomixing Services in Online
Illicit Markets[J/OL]. Journal of Contemporary
Criminal Justice, 2023, 39(2): 222-238.
[71] MÖSER M, BÖHME R, BREUKER D. An
inquiry into money laundering tools in the
Bitcoin ecosystem[C/OL]//2013 APWG eCrime
Researchers Summit. 2013: 1-14[2024-05-05].
[72] DE BALTHASAR T, HERNANDEZ-CASTRO J.
An Analysis of Bitcoin Laundry
Services[C/OL]//LIPMAA H, MITROKOTSA A,
MATULEVIČIUS R. Secure IT Systems. Cham:
Springer International Publishing, 2017:
297-312.
[73] MIEDEMA F, LUBBERTSEN K, SCHRAMA V,
et al. Mixed Signals: Analyzing {Ground-Truth}
Data on the Users and Economics of a Bitcoin
Mixing Service[C/OL]//32nd USENIX Security
Symposium (USENIX Security 23). 2023:
751-768[2024-03-28].
[74] STOCKINGER J. Analysis of Decentralized
Mixing Services in the Greater Bitcoin
Ecosystem[J].
[75] SCHNOERING H, VAZIRGIANNIS M.
Heuristics for detecting coinjoin transactions on
the bitcoin blockchain[J/OL]. arXiv preprint
arXiv:2311.12491, 2023[2024-03-26].
[76] CONTI M, GANGWAL A, RUJ S. On the
economic significance of ransomware
campaigns: A Bitcoin transactions
perspective[J/OL]. Computers & Security, 2018,
79: 162-189.
[77] MAKSUTOV A A, ALEXEEV M S,
FEDOROVA N O, et al. Detection of blockchain
transactions used in blockchain mixer of coin
join type[C/OL]//2019 IEEE conference of
russian young researchers in electrical and
electronic engineering (EIConRus). IEEE, 2019:
274-277[2024-03-25].
[78] TIRONSAKKUL T, MAAREK M, EROSS A, et
al. The Unique Dressing of Transactions:
Wasabi CoinJoin Transaction
Detection[C/OL]//EICC 2022: Proccedings of
the European Interdisciplinary Cybersecurity
Conference. Barcelona Spain: ACM, 2022:
21-28[2024-03-25].
[79] SHOJAEENASAB A, MOTAMED A P,
BAHRAK B. Mixing detection on Bitcoin
transactions using statistical patterns[A/OL].
arXiv, 2022[2024-03-26].
http://arxiv.org/abs/2204.02019.
[80] 李虎, 陈云芳, 张伟. 基于 CoinJoin 实现的混
币交易检测方法——以 Wasabi 平台为例[J].
网络与信息安全学报, 2023, 9(6): 140-153.(Li,
H., Chen, Y.-F., & Zhang, W. (2023). Detection Method for CoinJoin-based Coin Mixing
Transactions: A Case Study of Wasabi Platform.
Journal of Network and Information Security,
9(6), 140-153.)
[81] HONG Y, KWON H, LEE J, et al. A Practical
De-mixing Algorithm for Bitcoin Mixing
Services[C/OL]//Proceedings of the 2nd ACM
Workshop on Blockchains, Cryptocurrencies,
and Contracts. Incheon Republic of Korea:
ACM, 2018: 15-20[2024-03-26].
[82] TANG Y, XU C, ZHANG C, et al. Analysis of
Address Linkability in Tornado Cash on
Ethereum[M/OL]//LU W, ZHANG Y, WEN W,
et al. Cyber Security: 卷 1506. Singapore:
Springer Nature Singapore, 2022: 39-50.
[83] WU M, MCTIGHE W, WANG K, et al. Tutela:
An Open-Source Tool for Assessing
User-Privacy on Ethereum and Tornado
Cash[A/OL]. arXiv, 2022[2024-03-26].
http://arxiv.org/abs/2201.06811.
[84] WU L, HU Y, ZHOU Y, et al. Towards
Understanding and Demystifying Bitcoin
Mixing Services[C/OL]//Proceedings of the Web
Conference 2021. Ljubljana Slovenia: ACM,
2021: 33-44[2024-03-25].
[85] HONG Y, KWON H, LEE S, et al. Poster:
De-mixing Bitcoin Mixing Services[J].
[86] YOUSAF H, KAPPOS G, MEIKLEJOHN S.
Tracing Transactions Across Cryptocurrency
Ledgers[C/OL]//28th USENIX Security
Symposium (USENIX Security 19). 2019:
837-850[2024-05-04].
[87] BÉRES F, SERES I A, BENCZÚR A A, et al.
Blockchain is watching you: Profiling and
deanonymizing ethereum users[C/OL]//2021
IEEE international conference on decentralized
applications and infrastructures (DAPPS). IEEE,
2021: 69-78[2024-03-26].
[88] MEIKLEJOHN S, POMAROLE M, JORDAN G,
et al. A fistful of bitcoins: characterizing
payments among men with no
names[C/OL]//Proceedings of the 2013
conference on Internet measurement conference.
Barcelona Spain: ACM, 2013:
127-140[2024-01-24].
[89] NAKAMOTO S. Bitcoin: A Peer-to-Peer
Electronic Cash System[J].
[90] ANDROULAKI E, KARAME G O,
ROESCHLIN M, et al. Evaluating User Privacy
in Bitcoin[M/OL]//SADEGHI A R. Financial
Cryptography and Data Security: 卷 7859.
Berlin, Heidelberg: Springer Berlin Heidelberg,
2013: 34-51[2024-05-05].
[91] REID F, HARRIGAN M. An Analysis of
Anonymity in the Bitcoin System[C/OL]//2011
IEEE Third International Conference on Privacy,
Security, Risk and Trust and 2011 IEEE Third
International Conference on Social Computing.
2011: 1318-1326[2024-05-05].
[92] ZHANG Y, WANG J, LUO J. Heuristic-Based
Address Clustering in Bitcoin[J/OL]. IEEE
Access, 2020, 8: 210582-210591.
[93] HE X, HE K, LIN S, et al. Bitcoin address
clustering method based on multiple heuristic
conditions[J/OL]. IET Blockchain, 2022, 2(2):
44-56.
[94] LIU F, LI Z, JIA K, et al. Bitcoin Address
Clustering Based on Change Address
Improvement[J/OL]. IEEE Transactions on
Computational Social Systems, 2023: 1-12.
[95] VICTOR F. Address Clustering Heuristics
for Ethereum[C/OL]//BONNEAU J,
HENINGER N. Financial Cryptography and
Data Security. Cham: Springer International
Publishing, 2020: 617-633.
[96] WAHRSTÄTTER A, GOMES J, KHAN S, et al.
Improving cryptocurrency crime detection:
Coinjoin community detection approach[J/OL].
IEEE Transactions on Dependable and Secure
Computing, 2023[2024-03-25].
[97] WAHRSTÄTTER A, TAUDES A,
SVETINOVIC D. Reducing Privacy of CoinJoin
Transactions: Quantitative Bitcoin Network
Analysis[J/OL]. IEEE Transactions on
Dependable and Secure Computing,
2024[2024-03-26].
[98] REMY C, RYM B, MATTHIEU L. Tracking
Bitcoin Users Activity Using Community
Detection on a Network of Weak
Signals[C/OL]//CHERIFI C, CHERIFI H,
KARSAI M, et al. Complex Networks & Their
Applications VI. Cham: Springer International
Publishing, 2018: 166-177.
[99] SUN H, RUAN N, LIU H. Ethereum Analysis
via Node Clustering[C/OL]//LIU J K, HUANG
X. Network and System Security. Cham:
Springer International Publishing, 2019:
114-129.
[100] 王大宇, 殷婷婷, 李赟, 等. BATscope:比特币
恶意地址及混币交易识别[J/OL]. 信息安全学
报, 2023, 8(4): 1-16.(Wang, D.-Y., Yin, T.-T., Li,
Y., et al. (2023). BATscope: Identification of
Bitcoin Malicious Addresses and Mixing
Transactions. Journal of Information Security
Research, 8(4), 1-16.)
[101] XU C, XIONG R, SHEN X, et al. How to find a
bitcoin mixer: A dual ensemble model for
bitcoin mixing service detection[J/OL]. IEEE
Internet of Things Journal, 2023[2024-03-25].[102] PRADO-ROMERO M A, DOERR C,
GAGO-ALONSO A. Discovering Bitcoin
Mixing Using Anomaly
Detection[M/OL]//MENDOZA M, VELASTÍN
S. Progress in Pattern Recognition, Image
Analysis, Computer Vision, and Applications:
卷 10657. Cham: Springer International
Publishing, 2018: 534-541.
[103] WU J, LIU J, CHEN W, et al. Detecting mixing
services via mining bitcoin transaction network
with hybrid motifs[J]. IEEE Transactions on
Systems, Man, and Cybernetics: Systems, 2021,
52(4): 2237-2249.
[104] RATHORE M M, CHAURASIA S, SHUKLA D.
Mixers Detection in bitcoin network: a step
towards detecting money laundering in
crypto-currencies[C/OL]//2022 IEEE
International Conference on Big Data (Big Data).
IEEE, 2022: 5775-5782[2024-03-25].
[105] LIU M, CHEN H, YAN J. Detecting roles of
money laundering in Bitcoin mixing
transactions: A goal modeling and mining
framework[J]. Frontiers in Physics, 2021, 9:
665399.
[106] DU H, CHE Z, SHEN M, et al. Breaking the
Anonymity of Ethereum Mixing Services Using
Graph Feature Learning[J/OL]. IEEE
Transactions on Information Forensics and
Security, 2023[2024-03-25].
[107] STÜTZ R, STOCKINGER J,
MORENO-SANCHEZ P, et al. Adoption and
Actual Privacy of Decentralized CoinJoin
Implementations in Bitcoin[C/OL]//Proceedings
of the 4th ACM Conference on Advances in
Financial Technologies. Cambridge MA USA:
ACM, 2022: 254-267[2024-03-25].
[108] NAN L, TAO D. Bitcoin Mixing Detection
Using Deep Autoencoder[C/OL]//2018 IEEE
Third International Conference on Data Science
in Cyberspace (DSC). Guangzhou: IEEE, 2018:
280-287[2024-03-26].
[109] SUN X, YANG T, HU B. LSTM-TC: Bitcoin
coin mixing detection method with a high
recall[J/OL]. Applied Intelligence, 2022, 52(1):
780-793.
[110] YANG H, LI Z, GOU G, et al. Bitcoin Mixing
Service Detection Based on Spatio-Temporal
Information Representation of Transaction
Graph[C/OL]//2023 IEEE International
Performance, Computing, and Communications
Conference (IPCCC). IEEE, 2023:
210-219[2024-03-25].
[111] YU L, ZHANG F, MA J, et al. Who are the
money launderers? money laundering detection
on blockchain via mutual learning-based graph
neural network[C/OL]//2023 International Joint
Conference on Neural Networks (IJCNN). IEEE,
2023: 1-8.
[112] LO W W, KULATILLEKE G K, SARHAN M, et
al. Inspection-L: self-supervised GNN node
embeddings for money laundering detection in
bitcoin[J/OL]. Applied Intelligence, 2023,
53(16): 19406-19417.
[113] ALARAB I, PRAKOONWIT S, NACER M I.
Comparative Analysis Using Supervised
Learning Methods for Anti-Money Laundering
in Bitcoin[C/OL]//Proceedings of the 2020 5th
International Conference on Machine Learning
Technologies. New York, NY, USA: Association
for Computing Machinery, 2020: 11-17.
[114] HYUN W, LEE J, SUH B. Anti-Money
Laundering in Cryptocurrency
via Multi-Relational Graph Neural
Network[C/OL]//KASHIMA H, IDE T, PENG
W C. Advances in Knowledge Discovery and
Data Mining. Cham: Springer Nature
Switzerland, 2023: 118-130.
[115] LORENZ J, SILVA M I, APARÍCIO D, et al.
Machine learning methods to detect money
laundering in the bitcoin blockchain in the
presence of label scarcity[C/OL]//Proceedings
of the First ACM International Conference on
AI in Finance. New York, NY, USA: Association
for Computing Machinery, 2021:
1-8[2024-05-13].
[116] VASSALLO D, VELLA V, ELLUL J.
Application of Gradient Boosting Algorithms
for Anti-money Laundering in
Cryptocurrencies[J/OL]. SN Computer Science,
2021, 2(3): 143.
[117] TIRONSAKKUL T, MAAREK M, EROSS A, et
al. Tracking Mixed
Bitcoins[M/OL]//GARCIA-ALFARO J,
NAVARRO-ARRIBAS G,
HERRERA-JOANCOMARTI J. Data Privacy
Management, Cryptocurrencies and Blockchain
Technology: 卷 12484. Cham: Springer
International Publishing, 2020:
447-457[2024-05-03].
[118] TIRONSAKKUL T, MAAREK M, EROSS A, et
al. Context matters: Methods for Bitcoin
tracking[J]. Forensic Science International:
Digital Investigation, 2022, 42: 301475.
[119] WU J, LIN D, FU Q, et al. Toward
Understanding Asset Flows in Crypto Money
Laundering Through the Lenses of Ethereum
Heists[J/OL]. IEEE Transactions on Information
Forensics and Security, 2024, 19: 1994-2009.
[120] WU Z, LIU J, WU J, et al. TRacer: Scalable
Graph-based Transaction Tracing for
Account-based Blockchain Trading
Systems[J/OL]. IEEE Transactions oInformation Forensics and Security, 2023, 18:
2609-2621.
[121] ZHANG Z, YIN J, HU B, et al. CLTracer: A
Cross-Ledger Tracing framework based on
address relationships[J/OL]. Computers and
Security, 2022, 113(C)[2024-05-15].
[122] Chainanalysis Reactor[CP/OL]. [2024-05-18].
https://app.chainalysis.com/login?redirect=react
or.
[123] Chainalysis Know Your Transaction
(KYT)[CP/OL]. [2024-05-18].
https://www.chainalysis.com/chainalysis-kyt-cer
tification/.
[124] Clain Probe[CP/OL]. [2024-05-18].
https://clain.io/products/probe.
[125] Elliptic crypto-wallet-monitoring[CP/OL].
[2024-05-18].
https://www.elliptic.co/crypto-wallet-monitorin
g-screening-software.
[126] MistTrack[CP/OL]. [2024-05-18].
https://misttrack.io/.
[127] CipherTrace[CP/OL]. [2024-05-18].
https://home.ciphertrace.com/.
[128] Crystal Blockchain[CP/OL]. [2024-05-18].
https://crystalintelligence.com/.
[129] Scorechain[CP/OL]. [2024-05-18].
https://www.scorechain.com/.
[130] TRM Labs[CP/OL]. [2024-05-18].
https://www.trmlabs.com/.
[131] QLUE[CP/OL]. [2024-05-18].
https://blockchaingroup.io/qlue/. |