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題名 探索隨意群眾智慧之自主化信任模式研究
U-ATM: An Autonomous Trust Model for Exploring Ubiquitous Collective Wisdom
作者 黃元巨
Hwang,Yuan-Chu
貢獻者 苑守慈
Yuan,Soe-Tsyr
黃元巨
Hwang,Yuan-Chu
關鍵詞 隨意智能服務
群眾智慧
信任
Ubiquitous e-Service
Collective Wisdom
Trust
日期 2006
上傳時間 18-Sep-2009 20:15:33 (UTC+8)
摘要 Ubiquitous e-service is one of the most recent links in the chain of evolution that
has characterized the different eras of the internetworking environment. In this
dissertation, the notion of ambient e-services is defined to identify a new scope of
mobile e-services in an ubiquitous environment, addressing dynamic collective efforts
between mobile users, dynamic interactions with ambient environments, the moment of
value, and low cost provision. We present an ambient e-services framework
characterizing three supporting stacks followed by several ambient e-service
applications. We propose an ambient e-service environment that explores the promise of
exploitation of the collective wisdom of proximal mobile users.
In order to leap the trust barrier for the user to embracing these ubiquitous
e-services, we propose an Autonomous Trust Model for exploring collective wisdom in
the ubiquitous environment (hereafter termed “U-ATM”) as an instance of ASEM.
ASEM (Ambient e-Service Embracing Model) addresses the core elements (of
relevance to the integrated concern of trust, reputation and privacy) required for
assuring such desired features as convenience, safety, fairness and collaboration for
mobile users when they engage with ambient e-services. The U-ATM highlights the
distributed peer-to-peer interactions under an ad-hoc network composition. It especially
accommodates the dynamic short-lived identity characteristics and lightweight
computational capacity of mobile devices. The U-ATM we have developed is based on
the ZigBee architecture as a collaborative application in the upper layer of the
ubiquitous environment. U-ATM design concepts are elaborated and evaluated. A
simulation is conducted. Simulation outcomes for trust decision quality enhancement
show significant improvement over traditional designs. U-ATM makes it possible for
users to collaborate with the nearby user groups for establishing a reliable and
trustworthy interaction environment. It also facilitates and empowers the potential
benefits of various ubiquitous e-service applications.
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Bolton, G. E., Katok, E., & Ockenfels, A. (2004). Trust among internet traders: A behavioral economics approach. Analyse Und Kritik, 26, 185-202.
Buskens, V., & Raub, W. (2002). Embedded trust: Control and learning. Group Cohesion, Trust and Solidarity, 19, 167-202.
Castelfranchi, C., Falcone, R., & Pezzulo, G. (2003). Integrating trustfulness and decision using fuzzy cognitive maps. Trust Management 2003, LNCS 2692, , 195-210.
Chaum, D. (1989). Privacy protected payments: Unconditional payer and/or payee untraceability. Proceedings of Smart Card 2000, North Holland,
Chou, D. C., Yen, D. C., Lin, B., & Cheng, P. (1999). Cyberspace security management. Industrial Management & Data Systems, 99(8), 353-361.
Coleman, J. S. (1990). Foundations of social theoryCambridge, MA: The Belknap Press of Harvard University Press.
Dasgupta, P. (2000). Trust as a commodity. In Gambetta, D., Ed., Trust: Making and Breaking Cooperative Relations, Electronic Edition. Department of Sociology, University of Oxford. Http://www.Sociology.Ox.Ac.uk/papers/dasgupta49-72.Pdf,
Earle, T. C., & Cvetkovich, G. T. (1995). Social trust: Towards A cosmopolitan societyPraeger Publishers, Westport, CT.
Enzmann, M., & Schneider, M. (2005). Improving customer retention in E-commerce through a secure and privacy-enhanced loyalty system. Forthcoming: Information Systems Frontiers,
Enzmann, M., & Schneider, M. (2004). A privacy-friendly loyalty system for electronic marketplaces. Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE04), Taiwan.
Festinger, L., Schachter, S., & Back, S. (1950). Social Pressures in Informal Groups: A Study of Human Factors in Housing. Palo Alto, CA: Stanford University Press.
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描述 博士
國立政治大學
資訊管理研究所
90356508
95
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0903565081
資料類型 thesis
dc.contributor.advisor 苑守慈zh_TW
dc.contributor.advisor Yuan,Soe-Tsyren_US
dc.contributor.author (Authors) 黃元巨zh_TW
dc.contributor.author (Authors) Hwang,Yuan-Chuen_US
dc.creator (作者) 黃元巨zh_TW
dc.creator (作者) Hwang,Yuan-Chuen_US
dc.date (日期) 2006en_US
dc.date.accessioned 18-Sep-2009 20:15:33 (UTC+8)-
dc.date.available 18-Sep-2009 20:15:33 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 20:15:33 (UTC+8)-
dc.identifier (Other Identifiers) G0903565081en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/36952-
dc.description (描述) 博士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 90356508zh_TW
dc.description (描述) 95zh_TW
dc.description.abstract (摘要) Ubiquitous e-service is one of the most recent links in the chain of evolution that
has characterized the different eras of the internetworking environment. In this
dissertation, the notion of ambient e-services is defined to identify a new scope of
mobile e-services in an ubiquitous environment, addressing dynamic collective efforts
between mobile users, dynamic interactions with ambient environments, the moment of
value, and low cost provision. We present an ambient e-services framework
characterizing three supporting stacks followed by several ambient e-service
applications. We propose an ambient e-service environment that explores the promise of
exploitation of the collective wisdom of proximal mobile users.
In order to leap the trust barrier for the user to embracing these ubiquitous
e-services, we propose an Autonomous Trust Model for exploring collective wisdom in
the ubiquitous environment (hereafter termed “U-ATM”) as an instance of ASEM.
ASEM (Ambient e-Service Embracing Model) addresses the core elements (of
relevance to the integrated concern of trust, reputation and privacy) required for
assuring such desired features as convenience, safety, fairness and collaboration for
mobile users when they engage with ambient e-services. The U-ATM highlights the
distributed peer-to-peer interactions under an ad-hoc network composition. It especially
accommodates the dynamic short-lived identity characteristics and lightweight
computational capacity of mobile devices. The U-ATM we have developed is based on
the ZigBee architecture as a collaborative application in the upper layer of the
ubiquitous environment. U-ATM design concepts are elaborated and evaluated. A
simulation is conducted. Simulation outcomes for trust decision quality enhancement
show significant improvement over traditional designs. U-ATM makes it possible for
users to collaborate with the nearby user groups for establishing a reliable and
trustworthy interaction environment. It also facilitates and empowers the potential
benefits of various ubiquitous e-service applications.		zh_TW
dc.description.tableofcontents CHAPTER 1 INTRODUCTION 1
1.1 UBIQUITOUS E-SERVICE TODAY 1
1.1.1 Two Different Design Paradigms (Client/Server vs. P2P) 2
1.1.2 From P2P to Ambient e-service 2
1.1.3 Beyond Sensor Network: The Power of Social Context 3
1.2 TRUST IN UBIQUITOUS ENVIRONMENT 4
1.3 DISSERTATION ROADMAP 6
CHAPTER 2 AMBIENT E-SERVICE 9
2.1 THE AMBIENT E-SERVICE FRAMEWORK 9
2.1.1 Value Stack 10
2.1.2 Environment Stack 11
2.1.3 Technology Stack 12
2.2 AMBIENT E-SERVICE APPLICATIONS 14
2.2.1 Ambient shopping mall scenario 16
2.2.2 Information Distribution Cooperation Scenario 18
2.2.3 Ambient Location Information Acquisition Scenario 20
2.2.4 Cooperative Peer Group Scenario 21
2.2.5 Conceptual Scenario Infrastructure 22
2.3 FEATURES OF AMBIENT E-SERVICE 23
CHAPTER 3 STATE OF THE ART & ASEM 25
3.1 CHALLENGES 25
3.1.1 Issues for Ambient e-Service 25
3.1.2 Core Issues for Embracing Ambient e-Service 27
3.1.3 Relationships between trust, reputation and privacy 28
3.1.4 Current Status of the Core issue of Trust 29
3.2 CURRENT RESEARCH IN AMBIENT E-SERVICE IMPLEMENTATION 31
3.2.1 Dynamic identity management for ambient e-service 32
3.2.2 Ambient data management for ambient e-service 32
3.3 AMBIENT E-SERVICE EMBRACING MODEL (ASEM) 35
3.3.1 ASEM Framework Design 35
3.3.2 ASEM Measurement Design 37
3.4 ROADMAP FOR AMBIENT E-SERVICE 41
3.4.1 Application service domain 41
3.4.2 Platform design domain 43
CHAPTER 4 PROBLEM STATEMENT 45
4.1 CONSTRAINTS OF UBIQUITOUS ENVIRONMENT 45
4.1.1 New challenges due to the Ubiquitous Environment 45
4.1.2 Basic Ideas 47
4.2 RESEARCH APPROACH 50
4.3 VALUES OF THE ASEM 52
CHAPTER 5 AN AUTONOMOUS TRUST MODEL 57
5.1 U-ATM: AN INSTANCE OF ASEM 57
5.2 U-ATM CORE ELEMENTS 57
5.2.1 U-ATM Privacy Design 58
5.2.2 U-ATM Reputation Management 59
5.2.3 U-ATM Trust Management 59
5.3 U-ATM PLATFORM INFRASTRUCTURE 60
5.4 ZIGBEE BASED U-ATM PLATFORM 64
5.4.1 ZigBee Introduction 64
5.4.2 Why ZigBee 66
CHAPTER 6 PRIVACY DESIGN IN THE U-ATM 73
6.1 CASE SCENARIO 73
6.2 ISSUES 74
6.3 THE U-ATM DESIGN 75
6.3.1 Unlinkability 76
6.3.2 Anonymizer 82
6.3.3 Confidential reputation design 87
6.4 JUSTIFICATION (QUESTIONNAIRE ON PERSONAL PRIVACY AWARENESS) 89
CHAPTER 7 REPUTATION MANAGEMENT IN THE U-ATM 95
7.1 CASE SCENARIO 95
7.2 ISSUES 99
7.3 THE U-ATM DESIGN 100
7.3.1 General reputation issues 100
7.3.2 Environment issues for ambient e-service 103
7.3.3 U-ATM Reputation Management Design 104
7.4 ALTERNATIVES 107
7.4.1 The Public Key Infrastructure. 107
7.4.2 Computational Efficiency on Reputation design：Counter-Based vs. Token Based 108
7.4.3 General Message Encryption: to be or not to be? 109
7.4.4 Contribution and Significance 111
7.5 JUSTIFICATION 113
CHAPTER 8 TRUST MANAGEMENT IN THE U-ATM 115
8.1 CASE SCENARIO 115
8.2 ISSUES 117
8.3 U-ATM DESIGN CONCEPT FOR TRUST MANAGEMENT 118
8.3.1 Exploring alternative data source for trust estimation: the Interaction-based experience 119
8.3.2 Determining acceptable targets for information acquisition 121
8.3.3 Data coordination for heterogeneous information sources 122
8.4 THE U-ATM TRUST MANAGEMENT DESIGN 125
8.4.1 Local Trust Evaluation 125
8.4.2 Interpersonal experience aggregation for heterogeneous data sources 130
8.5 JUSTIFICATION 132
8.5.1 Simulation 1: Effect of Collective Wisdom 134
8.5.2 Simulation 2: Dynamic Environmental Construct 138
8.5.3 Simulation 3: Interaction Cost vs. Decision Quality 143
CHAPTER 9 THEORETICAL SUPPORT OF PROXIMITY VALUE 147
9.1 CHANGES OF PROXIMITY IN THE U-COMMERCE ERA 147
9.2 SIGNIFICANCE OF PROXIMITY E-SERVICE 149
9.3 JUSTIFICATION OF THEORETICAL SUPPORT 150
9.4 CONFERENCE PROXIMITY E-SERVICE: A CASE SCENARIO 154
CHAPTER 10 CONCLUSIONS 159
10.1 VISION OF U-ATM 159
10.2 COMPARISON TO RELATED WORKS 161
10.3 CONCLUSIONS 163
REFERENCES 167
APPENDIX 173
A. QUESTIONNAIRE FOR USER PERCEIVED PRIVACY CONTROL (U-ATM ITRUST MODE) 173
B. QUESTIONNAIRE FOR USER PERCEIVED PRIVACY CONTROL (PASSWORD MODE) 174
C. SIMULATION EXPERIMENT DESIGN 175
C1. Experiment Settings 175
C2. Experiment Procedures 176		zh_TW
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dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0903565081en_US
dc.subject (關鍵詞) 隨意智能服務zh_TW
dc.subject (關鍵詞) 群眾智慧zh_TW
dc.subject (關鍵詞) 信任zh_TW
dc.subject (關鍵詞) Ubiquitous e-Serviceen_US
dc.subject (關鍵詞) Collective Wisdomen_US
dc.subject (關鍵詞) Trusten_US
dc.title (題名) 探索隨意群眾智慧之自主化信任模式研究zh_TW
dc.title (題名) U-ATM: An Autonomous Trust Model for Exploring Ubiquitous Collective Wisdomen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) Aberer, K., & Despotovic, Z. (2001). Managing trust in a peer-2-peer information system. CIKM`01, 310-317.zh_TW
dc.relation.reference (參考文獻) Allen, T. J. (1977). Managing the Flow of Technology. Cambridge, MA: MIT Press.zh_TW
dc.relation.reference (參考文獻) Anderson, B. (1983). Imagined Communities. London: Verso.zh_TW
dc.relation.reference (參考文獻) Aristotle. (1934). The Nicomachean Ethics. H. Rackham, translator. Cambridge, MA: Harvard University Press.zh_TW
dc.relation.reference (參考文獻) Barber, B. (1983). The logic and limits of trustNJ: Rutgers University Press.zh_TW
dc.relation.reference (參考文獻) Bolton, G. E., Katok, E., & Ockenfels, A. (2004). Trust among internet traders: A behavioral economics approach. Analyse Und Kritik, 26, 185-202.zh_TW
dc.relation.reference (參考文獻) Buskens, V., & Raub, W. (2002). Embedded trust: Control and learning. Group Cohesion, Trust and Solidarity, 19, 167-202.zh_TW
dc.relation.reference (參考文獻) Castelfranchi, C., Falcone, R., & Pezzulo, G. (2003). Integrating trustfulness and decision using fuzzy cognitive maps. Trust Management 2003, LNCS 2692, , 195-210.zh_TW
dc.relation.reference (參考文獻) Chaum, D. (1989). Privacy protected payments: Unconditional payer and/or payee untraceability. Proceedings of Smart Card 2000, North Holland,zh_TW
dc.relation.reference (參考文獻) Chou, D. C., Yen, D. C., Lin, B., & Cheng, P. (1999). Cyberspace security management. Industrial Management & Data Systems, 99(8), 353-361.zh_TW
dc.relation.reference (參考文獻) Coleman, J. S. (1990). Foundations of social theoryCambridge, MA: The Belknap Press of Harvard University Press.zh_TW
dc.relation.reference (參考文獻) Dasgupta, P. (2000). Trust as a commodity. In Gambetta, D., Ed., Trust: Making and Breaking Cooperative Relations, Electronic Edition. Department of Sociology, University of Oxford. Http://www.Sociology.Ox.Ac.uk/papers/dasgupta49-72.Pdf,zh_TW
dc.relation.reference (參考文獻) Earle, T. C., & Cvetkovich, G. T. (1995). Social trust: Towards A cosmopolitan societyPraeger Publishers, Westport, CT.zh_TW
dc.relation.reference (參考文獻) Enzmann, M., & Schneider, M. (2005). Improving customer retention in E-commerce through a secure and privacy-enhanced loyalty system. Forthcoming: Information Systems Frontiers,zh_TW
dc.relation.reference (參考文獻) Enzmann, M., & Schneider, M. (2004). A privacy-friendly loyalty system for electronic marketplaces. Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE04), Taiwan.zh_TW
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