A survey of privacy in multi-agent systems

Such, Jose M. and Espinosa, Agustin and Garcia-Fornes, Ana (2014) A survey of privacy in multi-agent systems. Knowledge Engineering Review, 29 (3). pp. 314-344. ISSN 0269-8889

[thumbnail of S0269888913000180a]
Preview
PDF (S0269888913000180a)
S0269888913000180a.pdf - Published Version

Download (906kB)

Abstract

Privacy has been a concern for humans long before the explosive growth of the Internet. The advances in information technologies have further increased these concerns. This is because the increasing power and sophistication of computer applications offers both tremendous opportunities for individuals, but also significant threats to personal privacy. Autonomous agents and multi-agent systems are examples of the level of sophistication of computer applications. Autonomous agents usually encapsulate personal information describing their principals, and therefore they play a crucial role in preserving privacy. Moreover, autonomous agents themselves can be used to increase the privacy of computer applications by taking advantage of the intrinsic features they provide, such as artificial intelligence, pro-activeness, autonomy, and the like. This article introduces the problem of preserving privacy in computer applications and its relation to autonomous agents and multi-agent systems. It also surveys privacy-related studies in the field of multi-agent systems and identifies open challenges to be addressed by future research.

Item Type:
Journal Article
Journal or Publication Title:
Knowledge Engineering Review
Additional Information:
http://journals.cambridge.org/action/displayJournal?jid=KER The final, definitive version of this article has been published in the Journal, The Knowledge Engineering Review, 29 (3), pp 314-344 2014, © 2013 Cambridge University Press.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1702
Subjects:
?? artificial intelligencesoftware ??
ID Code:
60509
Deposited By:
Deposited On:
05 Dec 2012 16:42
Refereed?:
Yes
Published?:
Published
Last Modified:
18 Dec 2023 01:19