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題名 語意性的隱私政策-落實於銀行內部隱私保護的研究
Semantic privacy policies-Research for the enforcement of privacy protection inside the bank
作者 李家輝
Lee, Chia Hui
貢獻者 胡毓忠
Hu, Yuh Jong
李家輝
Lee, Chia Hui
關鍵詞 隱私權
企業隱私偏好平台
語意網
本體論
語意規則語言
隱私偏好平台
個人資料保護法
金控共同行銷規範
電子商務消費者保護綱領
Privacy
E-P3P
Semantic Web
Ontology
SWRL
P3P
XACML
EPAL
日期 2007
上傳時間 11-Sep-2009 16:03:59 (UTC+8)
摘要 網際網路的興起帶動銀行業電子商務的發展;然而,在開放式的網路環境下,個人的財務、交易等具有隱私的資訊,可能因金融機構本身資訊安全防護技術未落實、資料處理流程權限控管不當、或相關稽核機制不健全等因素,造成銀行個人資料外洩,而影響個人財務及公司商譽的損失。現今在銀行業電子商務的網站上,雖然有使用隱私權政策聲明的方式來表示履行客戶資料隱私保護的責任,但是此形式宣告的方式大於實質保護的意義,沒有任何作用。客戶資料的隱私資訊,亦應受到法律的保護;在我國主要的法律有電腦處理個人資料保護法、內部控制法及金控共同行銷規範等。本研究旨在針對銀行業電子商務交易流程中提出企業內部客戶隱私資料保護的架構模型,將客戶隱私資訊做分類,並遵循相關法律條文規範,以訂立具有語意的隱私權政策來落實企業內部客戶隱私資料的保護。我期望本研究的成果能貢獻未來金融業於客戶隱私資料保護的參考依循。
The rising of Internet drives the development of e-commerce in banking industry. However, in the opening environment of Internet, the personal and confidential data which includes finance and transaction may be exposed because its poor secure protection technology or improper permission control for the procedure of data processing, or defective auditing mechanism in financial institutes. Therefore, it could influence the loss of personal finance and goodwill of companies. Although the e-commence website of banking industry protect customers’ data through the stated of right to privacy, the announced meaning is far more than the real protection. The customers’ private data should be protected by law, such as Computer Processing Personal Data Protection Act and Rules Concerning Cross-Selling by Financial Holding Company Subsidiaries in Taiwan.The purpose of the thesis offers the enterprise internal privacy construction model which classifies customers’ private data, follows the related law regulation, and establishes semantic privacy policies in order to achieve the protection of enterprise internal customers’ data for the transaction flow of e-commence in banking industry. I expect the research can contribute some references to follow in customers’ data protection for financial institutions in the future.
參考文獻 一、中文部份
行政院消費者保護委員會-電子商務消費者.http://www.cpc.gov.tw.
金管會金融控股公司.http://www.banking.gov.tw/.
金融控股公司法.http://law.moj.gov.tw.
楊亨利、邱顯貴,民89,「台灣地區網站對個人資料保護之資訊隱私政策調查」,第六屆資訊管理暨實務研討會,新竹市。
銀行內部控制及稽核制度實施辦法.http://law.moj.gov.tw.
銀行法.http://law.moj.gov.tw.
電腦處理個人資料保護法及修正草案.http://law.moj.gov.tw.
二、英文部份
[1] A.I. Antón, Q. He and D. Baumer. "The Complexity
Underlying JetBlue’s Privacy Policy Violations”. IEEE
Intelligence(IJCAI’01),pages 225-230,Seattle,WA.
[27]TRAVIS D. BREAUX, ANNIE I. ANT´ON and JON DOYLE,North
Carolina State University. “Semantic
Parameterization:A Process for Modeling Domain
Descriptions”. NCSU CSC Technical Report, No. TR-2006-
35, October 2006.
[28]Vinith Bindiganavale and Dr. Jinsong yang,Member.“Role
Based Access Control in Enterprise Application –
Security Administration and User Management”,IEEE.
[29]William F. Adkinson Jr.,Jeffrey A. Eisenach and Thomas
Security & Privacy,to Appear.
M. Lenard.“Privacy Online: A Report on the Information
Practices and Policies of Commercial Web Sites.”,The
Progress & Freedom Foundation 2001.
[30]W3C. Platform for Privacy Preferences. Available at
http://www.w3.org/P3P.
[2] A.I. Antón, J.B. Earp, D. Bolchini, Q. He, C. Jensen
and W. Stufflebeam. “The Lack of Clarity in Financial
Privacy Policies and the Need for
Standardization”. IEEE Security & Privacy, 2(2),pp.36-
45, 2004.
[3] Annie I. Antón, Elisa Bertino, Ninghui Li,and Ting
Yu.“A Roadmap For Comprehensive Online Privacy Policy
Management”, Communications of the ACM ,2007.
[4] Charles D. Raab,“The future of privacy protection”.
Cyber Trust & Crime Prevention Project 2004.
[5] Christine Golbreich.Laboratoire d’Informatique
Médicale,Université Rennes 1 Avdu Pr. Léon Bernard,
35043 Rennes, France. “Combining Rule and Ontology
Reasoners for the Semantic Web”.
[6] eXtensible Access Control Markup Language Available at
http:// http://www.oasis-open.org/
[7] Financial Privacy: The Gramm-Leach Bliley Act, Federal
TradeCommission,1999. http://www.ftc.gov/privacy/glbact/
[8] Gramm-Leach-Bliley Act.Available at
http://www.ftc.gov/privacy/glbact/glbsub1.htm
[9] G. Karjoth, M. Schunter and M. Waidner. “ Platform for
Enterprise Privacy Practices:Privacy-Enabled Management
of Customer Data”.In Proceedings of the Second
International Workshop on Privacy Enhancing
Technologies (PET 2002), LNCS 2482,pp. 69-84, 2003.
[10]G. Karjoth and M. Schunter.“A Privacy Policy Model for
Enterprises”. In 15th IEEE Computer Security
Foundations Workshop. IEEE Computer Society Press,2002.
[11]G. Karjoth, M. Schunter and E. Van Herreweghe.“
Translating Privacy Practices into Privacy Promises -
How to Promise What You Can Keep”. In Proceedings of
the 4th IEEE International Workshop on Policies for
Distributed Systems and Networks (POLICY 2003), pp. 135-
146,June 2003.
[12]Guarino,N.,“Formal Ontology and Information Systems,”
Proc. Of the 1st International
Conference,Trento,Italy,6-8,IOS Press(amended version),
pp.3-15,1998.
[13]Horrocks,I.,et al.(2004). “SWRL:A Semantic Web Rule
Language Combining OWL and RuleML.”
http://www.w3.org/Submission/2004/SUBM-SWRL-20040521/.
[14]Jason Reid, Juan M. Gonzlez Nieto, Ed Dawson, Eiji
Okamoto. “Privacy and Trusted Computing”,IEEE
Computer Society 2003.
[15]Knublauch, H., M. A. Musen and A. L. Rector.
(2004)“Editing description logics ontologies with the
Protege OWL plugin.” International Workshop on
Description Logics, Whistler, BC, Canada.
[16]Mitra P., Wiederhold G., and Kersten M. (2000),“A
Graph-Oriented Model for Articulation of Ontology
Interdependencies”,Extending Database Technology2000
(EDBT’2000),Konstanz,Germany.
[17]N. Li, T. Yu and A. I. Antón.“A semantics-based
approach to privacy languages”.CERIAS Technical
Report TR 2003-28, Purdue University,November 2003.
[18]Noy, N.F., and Musen, M.A. (1999). SMART: Automated
Support for Ontology Merging and Alignment. Submitted
to the Twelth Workshop on Knowledge Acquisition,
Modeling, and Management, 1999. Banff,Canada.
[19]Noy N. F. and Musen M. A. (2000), “PROMPT:Algorithm
and tool for Automated Ontology Merging and
Alignment”, 17th National Conference on Artificial
Intelligence(AAAI’00),Austin Texas,pp450-455.
[20]N. F. Noy, D. L. McGuinness, "Ontology Development 101:
A guide to Creating Your First Ontology," 2001 Stanford
University
[21]P.Ashley, M. Schunter.“The Platform for Enterprise
Privacy Practices” ,Information Security Solutions
Europe (ISSE), Paris, 2002.
[22]P. Ashley, S. Hada, G. Karjoth and M. Schunter.“ E-P3P
Privacy Policies and Privacy Authorization.” Proc. of
the Workshop on Privacy in the Electronic Society
(WPES’02).Washington D.C. November 21, 2001.
[23]Ashley, S. Hada, G. Karjoth, C. Powers and M. Schunter.
Enterprise Privacy Authorization Language (EPAL 1.1)
Specification. IBM Research Report.
http://www.zurich.ibm.com/security/enterprise-
privacy/epal. 2003.
[24]S. De Capitani di Vimercati, S. Foresti, S. Jajodia, P.
Samarati,“Access Control Policies and Languages in
Open Environments”, in Secure Data Management in
Decentralized Systems, T. Yu and S. Jajodia (eds),
Springer-Verlag, 2007.
[25]Studer, R., V. R. Benjamins & D. Fensel, “Knowledge
Engineering: Principles and Methods”, Data and
Knowledge Engineering, Vol. 25, Issue. 1-2, pp. 161-197.
[26]Stumme G. and Madche A.(2001),“FCA-Merge: Bottom-up
merging of ontologies”,In 7th Intl.Conf.on Artificial
描述 碩士
國立政治大學
資訊科學學系
94971015
96
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0094971015
資料類型 thesis
dc.contributor.advisor 胡毓忠zh_TW
dc.contributor.advisor Hu, Yuh Jongen_US
dc.contributor.author (Authors) 李家輝zh_TW
dc.contributor.author (Authors) Lee, Chia Huien_US
dc.creator (作者) 李家輝zh_TW
dc.creator (作者) Lee, Chia Huien_US
dc.date (日期) 2007en_US
dc.date.accessioned 11-Sep-2009 16:03:59 (UTC+8)-
dc.date.available 11-Sep-2009 16:03:59 (UTC+8)-
dc.date.issued (上傳時間) 11-Sep-2009 16:03:59 (UTC+8)-
dc.identifier (Other Identifiers) G0094971015en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/29689-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊科學學系zh_TW
dc.description (描述) 94971015zh_TW
dc.description (描述) 96zh_TW
dc.description.abstract (摘要) 網際網路的興起帶動銀行業電子商務的發展;然而,在開放式的網路環境下,個人的財務、交易等具有隱私的資訊,可能因金融機構本身資訊安全防護技術未落實、資料處理流程權限控管不當、或相關稽核機制不健全等因素,造成銀行個人資料外洩,而影響個人財務及公司商譽的損失。現今在銀行業電子商務的網站上,雖然有使用隱私權政策聲明的方式來表示履行客戶資料隱私保護的責任,但是此形式宣告的方式大於實質保護的意義,沒有任何作用。客戶資料的隱私資訊,亦應受到法律的保護;在我國主要的法律有電腦處理個人資料保護法、內部控制法及金控共同行銷規範等。本研究旨在針對銀行業電子商務交易流程中提出企業內部客戶隱私資料保護的架構模型,將客戶隱私資訊做分類,並遵循相關法律條文規範,以訂立具有語意的隱私權政策來落實企業內部客戶隱私資料的保護。我期望本研究的成果能貢獻未來金融業於客戶隱私資料保護的參考依循。zh_TW
dc.description.abstract (摘要) The rising of Internet drives the development of e-commerce in banking industry. However, in the opening environment of Internet, the personal and confidential data which includes finance and transaction may be exposed because its poor secure protection technology or improper permission control for the procedure of data processing, or defective auditing mechanism in financial institutes. Therefore, it could influence the loss of personal finance and goodwill of companies. Although the e-commence website of banking industry protect customers’ data through the stated of right to privacy, the announced meaning is far more than the real protection. The customers’ private data should be protected by law, such as Computer Processing Personal Data Protection Act and Rules Concerning Cross-Selling by Financial Holding Company Subsidiaries in Taiwan.The purpose of the thesis offers the enterprise internal privacy construction model which classifies customers’ private data, follows the related law regulation, and establishes semantic privacy policies in order to achieve the protection of enterprise internal customers’ data for the transaction flow of e-commence in banking industry. I expect the research can contribute some references to follow in customers’ data protection for financial institutions in the future.en_US
dc.description.tableofcontents 第一章 導論 1
      1.1 研究背景 1
      1.2 研究目的 2
      1.3 已完成項目 3
      1.4 各章節概述 3
     第二章 相關研究 4
      2.1 國際網站隱私權及立法現況 4
      2.1.1 網站隱私現況 4
      2.1.2 國內網站隱私現況 5
      2.1.3 國內金控網站隱私現況 5
      2.1.4 P3P網站隱私宣告問題 7
      2.1.5 美國立法現況 7
      2.1.6 國內立法現況 7
      2.1.7 國內外立法現況比較 8
      2.2 各種隱私政策比較 8
      2.2.1 E-P3P與EPAL隱私政策語言比較 9
      2.2.3 E-P3P與P3P隱私政策語言比較 12
      2.2.4 E-P3P與XACML語言比較 13
      2.2.5 E-P3P存在的問題 15
      2.3隱私政策語言語意問題 16
      2.3.1 形式化語意(Formal Semantic)問題 16
      2.3.2 語意與邏輯表達問題 17
      2.3.3 FOL、DL與Logic Program 18
      2.4本體論與規則 19
      2.4.1 本體論概述 19
      2.4.2 本體論與關聯式資料庫 20
      2.4.3 規則概述 21
      2.4.4 OWL與SWRL 21
      2.4.5本體論與規則結合 23
      2.5 本研究示意圖 24
     第三章 企業隱私系統架構 25
      3.1 企業隱私架構改善 25
      3.2 存取控制語言 28
      3.3 可信賴平台(Trusted Platform) 28
     第四章 企業隱私架構設計 30
      4.1 隱私架構設計 30
      4.2 本體論分類 31
      4.3 本體論結合 32
      4.3.1 單一本體論與多個本體論 32
      4.3.2 本體論結合方式 33
      4.3.3 本體論合併方法 35
      4.3.3.1 Onions 35
      4.3.3.2 FCA-Merge 36
      4.3.3.3 PROMPT 36
      4.3.3.4 本體論合併的比較 38
      4.4 本體論建構 40
      4.4.1 建構企業隱私本體論 40
      4.4.1.1 資料使用者(DataUsers)本體論 40
      4.4.1.1.1 存取控制(Access Control)與角色存取控制
      (RBAC) 40
      4.4.1.2 資料使用者(Data Users)本體論 41
      4.4.1.3資料種類(DataTypes)本體論 43
      4.4.1.5 目的(Purpose)本體論 44
      4.4.1.6 限制(Constrains)本體論 46
      4.5 企業內部客戶資料存取規則及流程 47
      4.6 本體論控管機制(Ontology Control) 49
      4.7 使用SWRL(Semantic Web Rule Language)建立隱私規則 52
      4.7.1 SWRL描述 52
      4.7.2 建立SWRL規則及控管機制實 53
      4.8 企業隱私資訊控管使用情境 58
     第五章 企業隱私系統實作 70
      5.1 使用工具 70
      5.2 Protégé 實作本體論及規則 72
      5.3 實作結果問題探討 76
     第六章 結論與未來展望 77
      6.1 研究結論 77
      6.2 本論文的貢獻 79
      6.3 未來展望 79
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0094971015en_US
dc.subject (關鍵詞) 隱私權zh_TW
dc.subject (關鍵詞) 企業隱私偏好平台zh_TW
dc.subject (關鍵詞) 語意網zh_TW
dc.subject (關鍵詞) 本體論zh_TW
dc.subject (關鍵詞) 語意規則語言zh_TW
dc.subject (關鍵詞) 隱私偏好平台zh_TW
dc.subject (關鍵詞) 個人資料保護法zh_TW
dc.subject (關鍵詞) 金控共同行銷規範zh_TW
dc.subject (關鍵詞) 電子商務消費者保護綱領zh_TW
dc.subject (關鍵詞) Privacyen_US
dc.subject (關鍵詞) E-P3Pen_US
dc.subject (關鍵詞) Semantic Weben_US
dc.subject (關鍵詞) Ontologyen_US
dc.subject (關鍵詞) SWRLen_US
dc.subject (關鍵詞) P3Pen_US
dc.subject (關鍵詞) XACMLen_US
dc.subject (關鍵詞) EPALen_US
dc.title (題名) 語意性的隱私政策-落實於銀行內部隱私保護的研究zh_TW
dc.title (題名) Semantic privacy policies-Research for the enforcement of privacy protection inside the banken_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 一、中文部份zh_TW
dc.relation.reference (參考文獻) 行政院消費者保護委員會-電子商務消費者.http://www.cpc.gov.tw.zh_TW
dc.relation.reference (參考文獻) 金管會金融控股公司.http://www.banking.gov.tw/.zh_TW
dc.relation.reference (參考文獻) 金融控股公司法.http://law.moj.gov.tw.zh_TW
dc.relation.reference (參考文獻) 楊亨利、邱顯貴,民89,「台灣地區網站對個人資料保護之資訊隱私政策調查」,第六屆資訊管理暨實務研討會,新竹市。zh_TW
dc.relation.reference (參考文獻) 銀行內部控制及稽核制度實施辦法.http://law.moj.gov.tw.zh_TW
dc.relation.reference (參考文獻) 銀行法.http://law.moj.gov.tw.zh_TW
dc.relation.reference (參考文獻) 電腦處理個人資料保護法及修正草案.http://law.moj.gov.tw.zh_TW
dc.relation.reference (參考文獻) 二、英文部份zh_TW
dc.relation.reference (參考文獻) [1] A.I. Antón, Q. He and D. Baumer. "The Complexityzh_TW
dc.relation.reference (參考文獻) Underlying JetBlue’s Privacy Policy Violations”. IEEEzh_TW
dc.relation.reference (參考文獻) Intelligence(IJCAI’01),pages 225-230,Seattle,WA.zh_TW
dc.relation.reference (參考文獻) [27]TRAVIS D. BREAUX, ANNIE I. ANT´ON and JON DOYLE,Northzh_TW
dc.relation.reference (參考文獻) Carolina State University. “Semanticzh_TW
dc.relation.reference (參考文獻) Parameterization:A Process for Modeling Domainzh_TW
dc.relation.reference (參考文獻) Descriptions”. NCSU CSC Technical Report, No. TR-2006-zh_TW
dc.relation.reference (參考文獻) 35, October 2006.zh_TW
dc.relation.reference (參考文獻) [28]Vinith Bindiganavale and Dr. Jinsong yang,Member.“Rolezh_TW
dc.relation.reference (參考文獻) Based Access Control in Enterprise Application –zh_TW
dc.relation.reference (參考文獻) Security Administration and User Management”,IEEE.zh_TW
dc.relation.reference (參考文獻) [29]William F. Adkinson Jr.,Jeffrey A. Eisenach and Thomaszh_TW
dc.relation.reference (參考文獻) Security & Privacy,to Appear.zh_TW
dc.relation.reference (參考文獻) M. Lenard.“Privacy Online: A Report on the Informationzh_TW
dc.relation.reference (參考文獻) Practices and Policies of Commercial Web Sites.”,Thezh_TW
dc.relation.reference (參考文獻) Progress & Freedom Foundation 2001.zh_TW
dc.relation.reference (參考文獻) [30]W3C. Platform for Privacy Preferences. Available atzh_TW
dc.relation.reference (參考文獻) http://www.w3.org/P3P.zh_TW
dc.relation.reference (參考文獻) [2] A.I. Antón, J.B. Earp, D. Bolchini, Q. He, C. Jensenzh_TW
dc.relation.reference (參考文獻) and W. Stufflebeam. “The Lack of Clarity in Financialzh_TW
dc.relation.reference (參考文獻) Privacy Policies and the Need forzh_TW
dc.relation.reference (參考文獻) Standardization”. IEEE Security & Privacy, 2(2),pp.36-zh_TW
dc.relation.reference (參考文獻) 45, 2004.zh_TW
dc.relation.reference (參考文獻) [3] Annie I. Antón, Elisa Bertino, Ninghui Li,and Tingzh_TW
dc.relation.reference (參考文獻) Yu.“A Roadmap For Comprehensive Online Privacy Policyzh_TW
dc.relation.reference (參考文獻) Management”, Communications of the ACM ,2007.zh_TW
dc.relation.reference (參考文獻) [4] Charles D. Raab,“The future of privacy protection”.zh_TW
dc.relation.reference (參考文獻) Cyber Trust & Crime Prevention Project 2004.zh_TW
dc.relation.reference (參考文獻) [5] Christine Golbreich.Laboratoire d’Informatiquezh_TW
dc.relation.reference (參考文獻) Médicale,Université Rennes 1 Avdu Pr. Léon Bernard,zh_TW
dc.relation.reference (參考文獻) 35043 Rennes, France. “Combining Rule and Ontologyzh_TW
dc.relation.reference (參考文獻) Reasoners for the Semantic Web”.zh_TW
dc.relation.reference (參考文獻) [6] eXtensible Access Control Markup Language Available atzh_TW
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