Automated Malware Detection Based on Novel Network Behavioral Signatures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106279" target="_blank" >RIV/00216305:26230/13:PU106279 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10047" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10047</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automated Malware Detection Based on Novel Network Behavioral Signatures
Original language description
In this paper we propose the updated novel intrusion detection framework which has higher successful rate in detection of specific zero-day malware. Further we present updated state-of-the-art set of network metrics for description of attack vector.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Engineering and Technology
ISSN
1793-8236
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
2
Country of publishing house
SG - SINGAPORE
Number of pages
5
Pages from-to
249-253
UT code for WoS article
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EID of the result in the Scopus database
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