Publication result detail

Automated Malware Detection Based on Novel Network Behavioral Signatures

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

Original Title

Automated Malware Detection Based on Novel Network Behavioral Signatures

English Title

Automated Malware Detection Based on Novel Network Behavioral Signatures

Type

Peer-reviewed article not indexed in WoS or Scopus

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. 

English 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.

Key words in English

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

Authors

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

RIV year

2014

Released

01.04.2013

Location

Singapore

Book

International Journal of Engineering and Technology

ISBN

1793-8236

Periodical

International Journal of Engineering and Technology

Volume

5

Number

2

State

Republic of Singapore

Pages from

249

Pages to

253

Pages count

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/"
}

Documents

ICSST 2013 final