Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67078
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor盧信銘
dc.contributor.authorTsan-Tsung Fangen
dc.contributor.author方贊宗zh_TW
dc.date.accessioned2021-06-17T01:19:18Z-
dc.date.available2017-08-14
dc.date.copyright2017-08-14
dc.date.issued2017
dc.date.submitted2017-08-11
dc.identifier.citationAndroulaki, E., Karame, G. O., Roeschlin, M., Scherer, T., & Capkun, S. (2013). Evaluating User Privacy in Bitcoin. Proceedings of the 17th International Conference on Financial Cryptography and Data Security. (pp. 34-51). Okinawa, Japan.
American National Standards Institute (1998). Public Key Cryptography for the Financial Services Industry: the Elliptic Curve Digital Signature Algorithm (ECDSA). (ANSI X9.63). Retrieved from ftp://ftp.iks-jena.de/mitarb/lutz/standards/ansi/X9/x963-7-5-98.pdf.
Base58. (n.d.). In Wikipedia. Retrieved July 27, 2017, from https://zh.wikipedia.org/wiki/Base58.
Bohr, J., & Bashir, M. (2014). Who Uses Bitcoin? An Exploration of the Bitcoin Community. Proceedings of the 12th International Conference on Privacy, Security and Trust. (pp. 94-101). Toronto, Canada.
Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society, Series B, 34(2), 187-220.
Dobbertin, H., Bosselaers, A., & Preneel, B. (1996). RIPEMD160: A Strengthened Version of RIPEMD. Proceedings of the 3rd International Workshop on Fast Software Encryption. (pp. 71-82). Cambridge, UK.
Dupont, J., & Squicciarini, A. C. (2015). Toward De-Anonymizing Bitcoin by Mapping Users. Proceedings of the 5th ACM Conference on Data and Application Security and Privacy. (pp. 139-141). San Antonio, Texas, USA.
Fisher, I. (1911). The Equation of Exchange. The American Economic Review, 1(2), 296-305.
Fleder, M., Kester, M. S., & Pillai, S. (2015). Bitcoin Transaction Graph Analysis. Retrieved from arXiv:1502.01657.
Gini, C. (1912). Variabilita e Mutabilita: Contributo Allo Studio Delle Distribuzioni e Delle Relazioni Statistiche. Rome: Tipografia di Paolo Cuppini.
Greaves, A., & Au, B. (‎2015). Using the Bitcoin Transaction Graph to Predict the Price of Bitcoin. Technical Report, Stanford University. Retrieved from http://snap.stanford.edu/class/cs224w-2015/projects_2015/Using_the_Bitcoin_Transaction_Graph_to_Predict_the_Price_of_Bitcoin.pdf.
Harrigan, M., & Fretter, C. (2016). The Unreasonable Effectiveness of Address Clustering. Proceedings of the 13th IEEE International Conference on Advanced and Trusted Computing. Toulouse, France.
Henderson, K., Gallagher, B., Eliassi-Rad, T., & Tong, H. (2012). RolX: Structural Role Extraction. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (pp. 1231-1239). Beijing, China.
Hirshman, J., Huang, Y., & Macke, S. (2013). Unsupervised Approaches to Detecting Anomalous Behavior in the Bitcoin Transaction Network. Technical Report, Stanford University. Retrieved from https://pdfs.semanticscholar.org/2ea6/04d967ca11ec869545ace248c41db6a49855.pdf.
Kondor, D., Pósfai, M., Csabai, I., & Vattay, G. (2014). Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network. PLoS ONE, 9(5), e97205.
Lorenz, M. O. (1905). Methods of Measuring the Concentration of Wealth. Publications of the American Statistical Association, 9(70), 209-219.
Lui, S. (2013). Overview of Bitcoin Community Survey. Retrieved from https://spacedruiddotcom.wordpress.com/2013/04/13/overview-of-bitcoin-community-survey-feb-mar-2013/.
Meiklejohn, S., Pomarole, M., Jordan, G., Levchenko, K., McCoyy, D., Voelker, G. M., & Savage, S. (2013). A Fistful of Bitcoins: Characterizing Payments Among Men with No Names. Proceedings of the 2013 ACM Conference on Internet Measurement Conference. (pp. 127-140). Barcelona, Spain.
Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Retrieved from https://bitcoin.org/bitcoin.pdf.
National Institute of Standards and Technology (NIST). (2002). SHA256 Standard. (FIPS PUB 180-2). Retrieved from http://csrc.nist.gov/publications/fips/fips180-2/fips180-2withchangenotice.pdf.
Nick, J. D. (2015). Data-Driven De-Anonymization in Bitcoin. (Master's Thesis, Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland) Retrieved from https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/155286/eth-48205-01.pdf.
Pearson, N. D., Yang, Z., & Zhang, Q. (2016). Evidence about Bubble Mechanisms: Precipitating Event, Feedback Trading, and Social Contagion. Proceedings of the 7th Miami Behavioral Finance Conference. Miami, Florida, USA.
Pham, P. T., & Lee, S. (2016). Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods. Retrieved from arXiv:1611.03941.
Reid, F., & Harrigan, M. (2011). An Analysis of Anonymity in the Bitcoin System. Proceedings of the 3rd IEEE International Conference on Privacy, Security, Risk and Trust and the 3rd IEEE International Conference on Social Computing. (pp. 1318-1326). Boston, MA, USA.
Ron, D., & Shamir, A. (2013). Quantitative Analysis of the Full Bitcoin Transaction Graph. Proceedings of the 17th International Conference on Financial Cryptography and Data Security. (pp. 6-24). Okinawa, Japan.
Shah, D., & Zhang, K. (2014). Bayesian Regression and Bitcoin. Proceedings of the 52nd Allerton Conference on Communication, Control, and Computing. (pp. 409-414). Urbana, Illinois, USA.
Shiller, R. J. (2015). Irrational Exuberance. Princeton, NJ: Princeton University Press.
Spagnuolo, M., Maggi, F., & Zanero, S. (2014). BitIodine: Extracting Intelligencefrom the Bitcoin Network. Proceedings of the 18th International Conference on Financial Cryptography and Data Security. (pp. 457–468). Christ Church, Barbados.
Yang, S. Y., & Kim, J. (2015). Bitcoin Market Return and Volatility Forecasting Using Transaction Network Flow Properties. Proceedings of the 2015 IEEE Symposium Series on Computational Intelligence. (pp. 1778-1785). Cape Town, South Africa.
Yelowitz, A., & Wilson, M. (2015). Characteristics of Bitcoin Users: An Analysis of Google Search Data. Applied Economics Letters, Taylor & Francis Journals, 22(13), 1030-1036.
Yu, A., & Bünz, B. (2015). Community Detection and Analysis in the Bitcoin Network. Technical Report, Stanford University. Retrieved from http://snap.stanford.edu/class/cs224w-2015/projects_2015/
Community_Detection_and_Analysis_in_the_Bitcoin_Network.pdf.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67078-
dc.description.abstract比特幣為一個對等式架構的數位貨幣系統,其背後的核心技術為區塊鏈,而區塊鏈記載了比特幣的所有歷史交易紀錄,並且公開分散放置在網路當中。因此,我們將針對區塊鏈中的交易記錄進行分析,並以三個不同的觀點來探討比特幣的特性,包含了時間、貨幣性質以及比特幣投資者的活動。首先,我們以時間維度作為出發點,觀察比特幣從2009年至2016年間,其整體環境的成長變化,發現比特幣的區塊、交易以及地址數量皆呈現指數成長的趨勢。接下來,以貨幣角度來看,我們定義了比特幣的貨幣流通速度以及吉尼係數的計算方式,並以這兩個指標來與真實貨幣相比較。最後,則是以比特幣的投資活動來看,我們利用Cox風險比例模型及羅吉斯回歸檢驗比特幣投資者是否存在正向回饋循環的現象。我們從研究結果中發現,比特幣正以指數遞增的方式快速地成長,並且有越來越多人在使用比特幣。即便如此,我們從比特幣的使用情形來看,認為比特幣的特質仍與現實世界的貨幣具有相當的差距。而若將比特幣視為一項投資工具,結果顯示比特幣的投資者會因爲前次投資的正向報酬,而促使其進行下一次的投資行為,間接顯示比特幣投資市場具有泡沫化的可能。透過直接對比特幣的交易記錄進行分析,有助於從中發現比特幣潛在的特性,並能快速的掌握比特幣的變化趨勢。zh_TW
dc.description.abstractBitcoin is a peer-to-peer digital currency system in which all transactions are recorded in a public ledger called blockchain. We analyze the blockchain transaction data to characterize the features of Bitcoin. Specifically, we investigates Bitcoin from three distinct perspectives: time, currency, and individual investment behavior. Our analysis are based on historical transaction records from 2009 to 2016. First, we visualize the changes of Bitcoin in the time dimension. Second, we calculated the velocity of Bitcoin and the Gini coefficient for investigating the characteristics of Bitcoin as a pseudo-currency. Finally, we use Cox regression and Logistic regression to understand individual investment behavior. We found that Bitcoin is growing very rapidly in terms of transaction numbers and address. Even so, the characteristics of Bitcoin are very different from the real-world currency. By analyzing investor behavior, we found that Bitcoin has the possibility to form a bubble. In conclusion, we further explored and found the characteristics of Bitcoin using blockchain data.en
dc.description.provenanceMade available in DSpace on 2021-06-17T01:19:18Z (GMT). No. of bitstreams: 1
ntu-106-R04725048-1.pdf: 2619659 bytes, checksum: b9a60779a6dc9fa51deeb2eeb79ccc6e (MD5)
Previous issue date: 2017
en
dc.description.tableofcontents口試委員審定書 I
誌謝 II
摘要 III
Abstract IV
第一章 緒論 1
1.1. 研究背景與動機 1
1.2. 研究目的 3
第二章 文獻探討 4
2.1. 比特幣介紹 4
2.2. 以資料為導向的比特幣研究 8
2.2.1. 以區塊鏈資料為主軸 8
2.2.2. 以外部資料為主軸 10
2.3. 比特幣地址去匿名化研究 11
2.4. 小結 15
第三章 研究方法 16
3.1. 資料蒐集及處理 16
3.1.1. 資料前處理 16
3.1.2. 比特幣地址的聚合 20
3.2. 研究流程 24
3.2.1. 以時間維度 25
3.2.2. 以貨幣角度 26
3.2.3. 以投資工具角度 30
第四章 結果與討論 36
4.1. 比特幣地址的聚合 36
4.2. 比特幣的成長變化 38
4.2.1. 區塊 38
4.2.2. 交易與地址 40
4.3. 比特幣的貨幣性質 47
4.3.1. 貨幣流通速度 47
4.3.2. 財富分佈情形 49
4.4. 比特幣的投資潛質 51
第五章 結論與建議 58
5.1. 研究結果 58
5.2. 研究貢獻 58
5.3. 未來研究方向 59
參考文獻……. 60
dc.language.isozh-TW
dc.subject比特幣zh_TW
dc.subject區塊鏈zh_TW
dc.subject數位貨幣zh_TW
dc.subject貨幣zh_TW
dc.subject投資工具zh_TW
dc.subjectinvestment instrumenten
dc.subjectBitcoinen
dc.subjectblockchainen
dc.subjectdigital currencyen
dc.subjectcurrencyen
dc.title由區塊鏈資料探討比特幣特性zh_TW
dc.titleAn Investigation of Bitcoin Transaction Recordsen
dc.typeThesis
dc.date.schoolyear105-2
dc.description.degree碩士
dc.contributor.oralexamcommittee林怡伶,張景宏
dc.subject.keyword比特幣,區塊鏈,數位貨幣,貨幣,投資工具,zh_TW
dc.subject.keywordBitcoin,blockchain,digital currency,currency,investment instrument,en
dc.relation.page63
dc.identifier.doi10.6342/NTU201702986
dc.rights.note有償授權
dc.date.accepted2017-08-11
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
顯示於系所單位:資訊管理學系

文件中的檔案:
檔案 大小格式 
ntu-106-1.pdf
  未授權公開取用
2.56 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved