Secure Multi-Agent Planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00302397" target="_blank" >RIV/68407700:21230/16:00302397 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/citation.cfm?doid=2970030.2970042" target="_blank" >https://dl.acm.org/citation.cfm?doid=2970030.2970042</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2970030.2970042" target="_blank" >10.1145/2970030.2970042</a>
Alternative languages
Result language
angličtina
Original language name
Secure Multi-Agent Planning
Original language description
Multi-agent planning using MA-STRIPS-related models is often motivated by the preservation of private information. Such motivation is not only natural for multi-agent systems, but is one of the main reasons, why multi-agent planning problems cannot be solved centrally. Although the motivation is common in the literature, formal treatment of privacy is mostly missing. An exception is a definition of two extreme concepts, weak and strong privacy. In this paper, we first analyze privacy leakage in the terms of secure Multi-Party Computation and Quantitative Information Flow. Then, we follow by analyzing privacy leakage of the most common MAP paradigms. Finally, we propose a new theoretical class of secure MAP algorithms and show how the existing techniques can be modified in order to fall in the proposed class.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GJ15-20433Y" target="_blank" >GJ15-20433Y: Heuristic Search for Multiagent and Factored Planning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 1st International Workshop on AI for Privacy and Security
ISBN
978-1-4503-4304-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
ACM
Place of publication
New York
Event location
Hague
Event date
Aug 29, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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