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NTIS 바로가기情報保護學會誌 = KIISC review, v.32 no.3, 2022년, pp.19 - 26
조욱 (부산대학교 정보컴퓨터공학부) , 김금보 (부산대학교 정보컴퓨터공학부) , 허신욱 ((주)스마트엠투엠 IoT 보안팀) , 김호원 (부산대학교 정보컴퓨터공학부)
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Chohan, U. W. (2021). Decentralized finance (DeFi): an emergent alternative financial architecture. Critical Blockchain Research Initiative (CBRI) Working Papers.
Wang, Q., Li, R., Wang, Q., & Chen, S. (2021). Non-fungible token (NFT): Overview, evaluation, opportunities and challenges. arXiv preprint arXiv:2105.07447.
Price, T. (2017). Predictive Cryptocurrency Mining and Staking.
WEB2 VS WEB3, "https://ethereum.org/en/developers/docs/web2-vs-web3/"
Kshetri, N., & Voas, J. (2017). Do crypto-currencies fuel ransomware?. IT professional, 19(5), 11-15.
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Bach, Leo Maxim, Branko Mihaljevic, and Mario Zagar. "Comparative analysis of blockchain consensus algorithms." 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Ieee, 2018.
POON, Joseph; BUTERIN, Vitalik. Plasma: Scalable autonomous smart contracts. White paper, 2017, 1-47.
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POON, Joseph; DRYJA, Thaddeus. The bitcoin lightning network: Scalable off-chain instant payments. 2016.
UTXO VS. ACCOUNT MODEL "https://academy.horizen.io/technology/expert/utxo-vs-account-model/"
Richardson, R., & North, M. M. (2017). Ransomware: Evolution, mitigation and prevention. International Management Review, 13(1), 10.
Meland, P. H., Bayoumy, Y. F. F., & Sindre, G. (2020). The Ransomware-as-a-Service economy within the darknet. Computers & Security, 92, 101762.
Chainalysis, "https://blog.chainalysis.com/reports/2022-crypto-crime-report-preview-criminal-balances-criminal-whales/"
2020년 위협 결과 보고서, 트렌드마이크로
220만원 상당 비트코인 요구하는 RaaS '사탄' 국내 유포 "http://www.itdaily.kr/news/articleView.html?idxno88407"
김기범. (2021). 랜섬웨어 피해현황 및 대응방안. KISO 저널, (44), 26-29.
[하이테크 리포트] 암호화폐 범죄 140억 달러 규모, 거래량 늘면서 피해액도 증가 "https://www.ajunews.com/view/20220214110945494"
업데이트 설치하니 비트코인 요구" 윈도우 10 업데이트 파일로 가장한 랜섬웨어 주의 "https://www.itworld.co.kr/news/234969#csidxc30caac0c02310483d191f7cb71d640"
Levi, M., & Reuter, P. (2006). Money laundering. Crime and justice, 34(1), 289-375.
Force, F. A. T. (2014). Money Laundering Awareness Handbook for Tax Examiners and Tax Auditors.
미, 북 가상자산 자금세탁 도운 '블렌더' 제재 나섰다 "https://www.edaily.co.kr/news/read?newsId01095526632326624&mediaCodeNo257"
정제용. (2021). 암호화폐 범죄 관련 범정부적 및 입법적 통제에 대한 연구-특정금융정보법 개정안을 중심으로. 경찰학연구, 21(1), 61-89.
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Maxwell, G. CoinSwap: Transaction graph disjoint trustless trading. "bitcointalk.org", Oct. 2013
Heilman, E., Alshenibr, L., Baldimtsi, F., Scafuro, A., & Goldberg, S. (2016). Tumblebit: An untrusted bitcoin-compatible anonymous payment hub. Cryptology ePrint Archive.
Maxwell, G. CoinJoin: Bitcoin privacy for the real world. "bitcointalk.org", Aug. 2013.
Ruffing, T., Moreno-Sanchez, P., & Kate, A. (2014, September). Coinshuffle: Practical decentralized coin mixing for bitcoin. In European Symposium on Research in Computer Security (pp. 345-364). Springer, Cham.
Ruffing, T., Moreno-Sanchez, P., & Kate, A. (2016). P2P mixing and unlinkable bitcoin transactions. Cryptology ePrint Archive.
Ruffing, T., & Moreno-Sanchez, P. (2017, April). Valueshuffle: Mixing confidential transactions for comprehensive transaction privacy in bitcoin. In International Conference on Financial Cryptography and Data Security (pp. 133-154). Springer, Cham.
Ranshous, S., Joslyn, C. A., Kreyling, S., Nowak, K., Samatova, N. F., West, C. L., & Winters, S. (2017, April). Exchange pattern mining in the bitcoin transaction directed hypergraph. In International conference on financial cryptography and data security (pp. 248-263). Springer, Cham.
Zhao, C., & Guan, Y. (2015, January). A graph-based investigation of bitcoin transactions. In IFIP International Conference on Digital Forensics (pp. 79-95). Springer, Cham.
Francesco Maesa, D. D., Marino, A., & Ricci, L. (2016, November). An analysis of the Bitcoin users graph: inferring unusual behaviours. In International Workshop on Complex Networks and their Applications (pp. 749-760). Springer, Cham.
Alarab, I., Prakoonwit, S., & Nacer, M. I. (2020, June). Competence of graph convolutional networks for anti-money laundering in bitcoin blockchain. In Proceedings of the 2020 5th International Conference on Machine Learning Technologies (pp. 23-27).
Feng, Y., Li, C., Wang, Y., Wang, J., Zhang, G., Xing, C., ... & Lian, Z. (2019, September). Anti-money laundering (AML) research: a system for identification and multi-classification. In International Conference on Web Information Systems and Applications (pp. 169-175). Springer, Cham.
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