Detail publikačního výsledku

Automated Malware Detection Based on Novel Network Behavioral Signatures

BARABAS, M.; HOMOLIAK, I.; DROZD, M.; HANÁČEK, P.

Originální název

Automated Malware Detection Based on Novel Network Behavioral Signatures

Anglický název

Automated Malware Detection Based on Novel Network Behavioral Signatures

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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. 

Anglický abstrakt

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. 

Klíčová slova

artificial intelligence, behavioral signatures, metrics, network security, security, security design.

Klíčová slova v angličtině

artificial intelligence, behavioral signatures, metrics, network security, security, security design.

Autoři

BARABAS, M.; HOMOLIAK, I.; DROZD, M.; HANÁČEK, P.

Rok RIV

2014

Vydáno

01.04.2013

Místo

Singapore

Kniha

International Journal of Engineering and Technology

ISSN

1793-8236

Periodikum

International Journal of Engineering and Technology

Svazek

5

Číslo

2

Stát

Singapurská republika

Strany od

249

Strany do

253

Strany počet

5

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/"
}

Dokumenty

ICSST 2013 final