Privacy and Trust in Agent-Supported Distributed Learning

Privacy and Trust in Agent-Supported Distributed Learning

Larry Korba, George Yee, Yuefei Xu, Ronggong Song, Andrew S. Patrick, V El-Khatib
ISBN13: 9781599049373|ISBN10: 1599049376|EISBN13: 9781599049380
DOI: 10.4018/978-1-59904-937-3.ch136
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MLA

Korba, Larry, et al. "Privacy and Trust in Agent-Supported Distributed Learning." Information Security and Ethics: Concepts, Methodologies, Tools, and Applications, edited by Hamid Nemati, IGI Global, 2008, pp. 2012-2043. https://doi.org/10.4018/978-1-59904-937-3.ch136

APA

Korba, L., Yee, G., Xu, Y., Song, R., Patrick, A. S., & El-Khatib, V. (2008). Privacy and Trust in Agent-Supported Distributed Learning. In H. Nemati (Ed.), Information Security and Ethics: Concepts, Methodologies, Tools, and Applications (pp. 2012-2043). IGI Global. https://doi.org/10.4018/978-1-59904-937-3.ch136

Chicago

Korba, Larry, et al. "Privacy and Trust in Agent-Supported Distributed Learning." In Information Security and Ethics: Concepts, Methodologies, Tools, and Applications, edited by Hamid Nemati, 2012-2043. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-937-3.ch136

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Abstract

The objective of this chapter is to explore the challenges, issues, and solutions associated with satisfying requirements for privacy and trust in agent-supported distributed learning (ADL). Accordingly, the first section will present the background, context, and challenges. The second section will delve into the requirements for privacy and trust as seen in legislation and standards. The third section will look at available technologies for satisfying these requirements. The fourth section will discuss an often-ignored area—that of building trustworthy user interfaces for distributed-learning systems. Finally, the chapter will end with conclusions and suggestions for further research.

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