Enhancing trust on e-Government: a decision fusion module
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Author(s)
Srur, BL
Muthukumarasamy, V
Griffith University Author(s)
Year published
2009
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Show full item recordAbstract
Advancement in Information and Communications Technologies (ICT) has increased privacy concerns among citizens. In this paper we examine how interconnected modules could be developed to mitigate those concerns and foster trust among e-Government stakeholders. Current e-Government measurement models do not adequately address privacy issues. We suggest that privacy enforcements should be added as major criteria of evaluation. Moreover, users should be able to choose the level of privacy and security needed for any system interaction. Thus, a conceptual model that allows for users to easily control the selection of privacy ...
View more >Advancement in Information and Communications Technologies (ICT) has increased privacy concerns among citizens. In this paper we examine how interconnected modules could be developed to mitigate those concerns and foster trust among e-Government stakeholders. Current e-Government measurement models do not adequately address privacy issues. We suggest that privacy enforcements should be added as major criteria of evaluation. Moreover, users should be able to choose the level of privacy and security needed for any system interaction. Thus, a conceptual model that allows for users to easily control the selection of privacy preferences is needed. A Decision Fusion Module takes the user inputs, such as level of privacy, pseudonymity and trust, and processes them to output the best possible selection of security mechanisms corresponding to those user preferences. In fact, e-Government models could benefit from the earned user trust. 頲009 IEEE.
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View more >Advancement in Information and Communications Technologies (ICT) has increased privacy concerns among citizens. In this paper we examine how interconnected modules could be developed to mitigate those concerns and foster trust among e-Government stakeholders. Current e-Government measurement models do not adequately address privacy issues. We suggest that privacy enforcements should be added as major criteria of evaluation. Moreover, users should be able to choose the level of privacy and security needed for any system interaction. Thus, a conceptual model that allows for users to easily control the selection of privacy preferences is needed. A Decision Fusion Module takes the user inputs, such as level of privacy, pseudonymity and trust, and processes them to output the best possible selection of security mechanisms corresponding to those user preferences. In fact, e-Government models could benefit from the earned user trust. 頲009 IEEE.
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Conference Title
NSS 2009 - Network and System Security
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