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Problem of agents cooperation in heterogeneous graph-based knowledge environment

2014
book section
conference proceedings
10.1007/978-3-319-07176-3_24
Author
Kotulski Leszek

Sędziwy Adam

Strug Barbara
Editor
Rutkowski Leszek

Korytowski Marcin

Scherer Rafał

Tadeusiewicz Ryszard

Zadeh Lotfi A.
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Volume
2
Book title / Journal title
Artificial intelligence and soft computing : 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014 : proceedings
Place of publication: Publisher
ChamHeidelbergNew YorkDordrechtLondon : Springer International Publishing
Pages
269-277
ISBN
978-3-319-07175-6
eISBN
978-3-319-07176-3
Series
Lecture Notes in Computer Science. Lecture Notes in Artificial IntelligenceLecture Notes in Computer Science
Serie's ISSN
0302-9743
Serie's eISSN
1611-3349
Number of serie
8468
Keywords in English

multi-agent system

data confidentiality

graph

distributed system

data leaks

Language
English
Book language / Journal language
English
Abstract in English

The important aspect of performance of a multi-agent system deployed in highly non-homogeneous environment is ensuring data confidentiality. In such an environment each agent resides in its local ecosystem characterized by its own data structure and semantics. Moreover agents may also extend their knowledge by sending appropriate queries to other agents. Thus a knowledge diffuses through the system so it may cause unauthorized data accesses. In this article we propose the run-time method of discovering such data leaks and the method of preventing such events.

Conference
13th International Conference, ICAISC 2014
Conference start date
2014-06-01
End date conference
2014-06-05
Conference city
Zakopane
Conference country
Polska
Conference type
international
Affiliation
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Zespół Zakładów Informatyki Stosowanej
cris.lastimport.wos2024-04-10T02:10:15Z
dc.abstract.enThe important aspect of performance of a multi-agent system deployed in highly non-homogeneous environment is ensuring data confidentiality. In such an environment each agent resides in its local ecosystem characterized by its own data structure and semantics. Moreover agents may also extend their knowledge by sending appropriate queries to other agents. Thus a knowledge diffuses through the system so it may cause unauthorized data accesses. In this article we propose the run-time method of discovering such data leaks and the method of preventing such events.pl
dc.affiliationWydział Fizyki, Astronomii i Informatyki Stosowanej : Zespół Zakładów Informatyki Stosowanejpl
dc.conference13th International Conference, ICAISC 2014
dc.conference.cityZakopane
dc.conference.countryPolska
dc.conference.datefinish2014-06-05
dc.conference.datestart2014-06-01
dc.conference.indexscopustrue
dc.conference.indexwostrue
dc.contributor.authorKotulski, Leszekpl
dc.contributor.authorSędziwy, Adampl
dc.contributor.authorStrug, Barbara - 100344 pl
dc.contributor.editorRutkowski, Leszekpl
dc.contributor.editorKorytowski, Marcinpl
dc.contributor.editorScherer, Rafałpl
dc.contributor.editorTadeusiewicz, Ryszardpl
dc.contributor.editorZadeh, Lotfi A.pl
dc.contributor.editorZurada, Jacek M.pl
dc.date.accessioned2015-02-27T09:20:29Z
dc.date.available2015-02-27T09:20:29Z
dc.date.issued2014pl
dc.description.conftypeinternationalpl
dc.description.physical269-277pl
dc.description.publication0,5pl
dc.description.seriesLecture Notes in Computer Science. Lecture Notes in Artificial Intelligence
dc.description.seriesLecture Notes in Computer Science
dc.description.seriesnumber8468
dc.description.volume2pl
dc.identifier.doi10.1007/978-3-319-07176-3_24pl
dc.identifier.eisbn978-3-319-07176-3pl
dc.identifier.isbn978-3-319-07175-6pl
dc.identifier.serieseissn1611-3349
dc.identifier.seriesissn0302-9743
dc.identifier.urihttp://ruj.uj.edu.pl/xmlui/handle/item/3365
dc.languageengpl
dc.language.containerengpl
dc.pubinfoChampl
dc.pubinfoHeidelbergpl
dc.pubinfoNew Yorkpl
dc.pubinfoDordrechtpl
dc.pubinfoLondon : Springer International Publishingpl
dc.rightsDodaję tylko opis bibliograficzny*
dc.rights.licenceBez licencji otwartego dostępu
dc.rights.uri*
dc.subject.enmulti-agent systempl
dc.subject.endata confidentialitypl
dc.subject.engraphpl
dc.subject.endistributed systempl
dc.subject.endata leakspl
dc.subtypeConferenceProceedingspl
dc.titleProblem of agents cooperation in heterogeneous graph-based knowledge environmentpl
dc.title.containerArtificial intelligence and soft computing : 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014 : proceedingspl
dc.typeBookSectionpl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-10T02:10:15Z
dc.abstract.enpl
The important aspect of performance of a multi-agent system deployed in highly non-homogeneous environment is ensuring data confidentiality. In such an environment each agent resides in its local ecosystem characterized by its own data structure and semantics. Moreover agents may also extend their knowledge by sending appropriate queries to other agents. Thus a knowledge diffuses through the system so it may cause unauthorized data accesses. In this article we propose the run-time method of discovering such data leaks and the method of preventing such events.
dc.affiliationpl
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Zespół Zakładów Informatyki Stosowanej
dc.conference
13th International Conference, ICAISC 2014
dc.conference.city
Zakopane
dc.conference.country
Polska
dc.conference.datefinish
2014-06-05
dc.conference.datestart
2014-06-01
dc.conference.indexscopus
true
dc.conference.indexwos
true
dc.contributor.authorpl
Kotulski, Leszek
dc.contributor.authorpl
Sędziwy, Adam
dc.contributor.authorpl
Strug, Barbara - 100344
dc.contributor.editorpl
Rutkowski, Leszek
dc.contributor.editorpl
Korytowski, Marcin
dc.contributor.editorpl
Scherer, Rafał
dc.contributor.editorpl
Tadeusiewicz, Ryszard
dc.contributor.editorpl
Zadeh, Lotfi A.
dc.contributor.editorpl
Zurada, Jacek M.
dc.date.accessioned
2015-02-27T09:20:29Z
dc.date.available
2015-02-27T09:20:29Z
dc.date.issuedpl
2014
dc.description.conftypepl
international
dc.description.physicalpl
269-277
dc.description.publicationpl
0,5
dc.description.series
Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence
dc.description.series
Lecture Notes in Computer Science
dc.description.seriesnumber
8468
dc.description.volumepl
2
dc.identifier.doipl
10.1007/978-3-319-07176-3_24
dc.identifier.eisbnpl
978-3-319-07176-3
dc.identifier.isbnpl
978-3-319-07175-6
dc.identifier.serieseissn
1611-3349
dc.identifier.seriesissn
0302-9743
dc.identifier.uri
http://ruj.uj.edu.pl/xmlui/handle/item/3365
dc.languagepl
eng
dc.language.containerpl
eng
dc.pubinfopl
Cham
dc.pubinfopl
Heidelberg
dc.pubinfopl
New York
dc.pubinfopl
Dordrecht
dc.pubinfopl
London : Springer International Publishing
dc.rights*
Dodaję tylko opis bibliograficzny
dc.rights.licence
Bez licencji otwartego dostępu
dc.rights.uri*
dc.subject.enpl
multi-agent system
dc.subject.enpl
data confidentiality
dc.subject.enpl
graph
dc.subject.enpl
distributed system
dc.subject.enpl
data leaks
dc.subtypepl
ConferenceProceedings
dc.titlepl
Problem of agents cooperation in heterogeneous graph-based knowledge environment
dc.title.containerpl
Artificial intelligence and soft computing : 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014 : proceedings
dc.typepl
BookSection
dspace.entity.type
Publication
Affiliations
Wydział Fizyki, Astronomii i Informatyki Stosowanej
Strug, Barbara
No affiliation
Kotulski, Leszek
Sędziwy, Adam
Rutkowski, Leszek
Korytowski, Marcin
Scherer, Rafał
Tadeusiewicz, Ryszard
Zadeh, Lotfi A.
Zurada, Jacek M.

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