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BARABAS, M. HOMOLIAK, I. DROZD, M. HANÁČEK, P.
Original Title
Automated Malware Detection Based on Novel Network Behavioral Signatures
Type
journal article - other
Language
English
Original Abstract
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.
Keywords
artificial intelligence, behavioral signatures, metrics, network security, security, security design.
Authors
BARABAS, M.; HOMOLIAK, I.; DROZD, M.; HANÁČEK, P.
RIV year
2013
Released
1. 4. 2013
Location
Singapore
ISBN
1793-8236
Periodical
International Journal of Engineering and Technology
Year of study
5
Number
2
State
Republic of Singapore
Pages from
249
Pages to
253
Pages count
URL
https://www.fit.vut.cz/research/publication/10047/
BibTex
@article{BUT103419, author="Maroš {Barabas} and Ivan {Homoliak} and Michal {Drozd} and Petr {Hanáček}", title="Automated Malware Detection Based on Novel Network Behavioral Signatures", journal="International Journal of Engineering and Technology", year="2013", volume="5", number="2", pages="249--253", issn="1793-8236", url="https://www.fit.vut.cz/research/publication/10047/" }
Documents
ICSST 2013 final.pdf