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Enhancing privacy in Multi-agent Systems

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Enhancing privacy in Multi-agent Systems. / Such, Jose M.
In: AI Communications, Vol. 25, No. 4, 2012, p. 377-379.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Such, JM 2012, 'Enhancing privacy in Multi-agent Systems', AI Communications, vol. 25, no. 4, pp. 377-379. https://doi.org/10.3233/AIC-2012-0521

APA

Such, J. M. (2012). Enhancing privacy in Multi-agent Systems. AI Communications, 25(4), 377-379. https://doi.org/10.3233/AIC-2012-0521

Vancouver

Such JM. Enhancing privacy in Multi-agent Systems. AI Communications. 2012;25(4):377-379. doi: 10.3233/AIC-2012-0521

Author

Such, Jose M. / Enhancing privacy in Multi-agent Systems. In: AI Communications. 2012 ; Vol. 25, No. 4. pp. 377-379.

Bibtex

@article{d676766c7fcb43ff93178a9e54527a8a,
title = "Enhancing privacy in Multi-agent Systems",
abstract = "In this thesis, we focus on avoiding undesired information collection and information processing in Multi-agent Systems. In order to avoid undesired information collection we propose a decision-making model for agents to decide whether disclosing personal information to other agents is acceptable or not. We also contribute a secure Agent Platform that allows agents to communicate with each other in a confidential fashion. In order to avoid undesired information processing, we propose an identity management model for agents in a Multi-agent System. This model avoids undesired information processing by allowing agents to hold as many identities as needed for minimizing data identifiability.",
keywords = "Privacy, Multi-agent Systems , autonomous agents",
author = "Such, {Jose M.}",
year = "2012",
doi = "10.3233/AIC-2012-0521",
language = "English",
volume = "25",
pages = "377--379",
journal = "AI Communications",
issn = "0921-7126",
publisher = "IOS Press",
number = "4",

}

RIS

TY - JOUR

T1 - Enhancing privacy in Multi-agent Systems

AU - Such, Jose M.

PY - 2012

Y1 - 2012

N2 - In this thesis, we focus on avoiding undesired information collection and information processing in Multi-agent Systems. In order to avoid undesired information collection we propose a decision-making model for agents to decide whether disclosing personal information to other agents is acceptable or not. We also contribute a secure Agent Platform that allows agents to communicate with each other in a confidential fashion. In order to avoid undesired information processing, we propose an identity management model for agents in a Multi-agent System. This model avoids undesired information processing by allowing agents to hold as many identities as needed for minimizing data identifiability.

AB - In this thesis, we focus on avoiding undesired information collection and information processing in Multi-agent Systems. In order to avoid undesired information collection we propose a decision-making model for agents to decide whether disclosing personal information to other agents is acceptable or not. We also contribute a secure Agent Platform that allows agents to communicate with each other in a confidential fashion. In order to avoid undesired information processing, we propose an identity management model for agents in a Multi-agent System. This model avoids undesired information processing by allowing agents to hold as many identities as needed for minimizing data identifiability.

KW - Privacy

KW - Multi-agent Systems

KW - autonomous agents

U2 - 10.3233/AIC-2012-0521

DO - 10.3233/AIC-2012-0521

M3 - Journal article

VL - 25

SP - 377

EP - 379

JO - AI Communications

JF - AI Communications

SN - 0921-7126

IS - 4

ER -