Detail publikace

Automated Malware Detection Based on Novel Network Behavioral Signatures

Originální název

Automated Malware Detection Based on Novel Network Behavioral Signatures

Anglický název

Automated Malware Detection Based on Novel Network Behavioral Signatures

Jazyk

en

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. 

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",
  annote="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. ",
  address="NEUVEDEN",
  booktitle="International Journal of Engineering and Technology",
  chapter="103419",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  number="2",
  volume="5",
  year="2013",
  month="april",
  pages="249--253",
  publisher="NEUVEDEN",
  type="journal article - other"
}