Privacy and Trust in Agent-Supported Distributed Learning

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Author(s): Larry Korba (National Research Council Canada, Canada), George Yee (National Research Council Canada, Canada), Yuefei Xu (National Research Council Canada, Canada), Ronggong Song (National Research Council Canada, Canada), Andrew S. Patrick (National Research Council Canada, Canada)and V El-Khatib (National Research Council Canada, Canada)
Copyright: 2008
Pages: 32
Source title: Information Security and Ethics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Hamid Nemati (The University of North Carolina at Greensboro, USA)
DOI: 10.4018/978-1-59904-937-3.ch136

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

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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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Privacy and Trust in Agent-Supported Distributed Learning

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