Detecting Insider Attacks Using Non-negative Matrix Factorization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A00020977" target="_blank" >RIV/61989100:27240/09:00020977 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Detecting Insider Attacks Using Non-negative Matrix Factorization
Original language description
It is a fact that vast majority of attention is given to protecting against external threats, which are considered more dangerous. However, some industrial surveys have indicated they have had attacks reported internally. Insider Attacks are an unusual type of threat which are also serious and very common. Unlike an external intruder, in the case of internal attacks, the intruder is someone who has been entrusted with authorized access to the network. This paper presents a Non-negative matrix factorization approach to detect inside attacks. Comparisons with other established pattern recognition techniques reveal that the non-negative matrix factorization approach could be also an ideal candidate to detect internal threats.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Fifth International Conference on Information Assurance and Security, 2009. IAS '09
ISBN
978-0-7695-3744-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Xi'An, China
Event date
Aug 18, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000275852000158

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