Detail publikace

Botnet C&C provoz a životnost toku pomocí analýzy přežití

OUJEZSKÝ, V. HORVÁTH, T. ŠKORPIL, V.

Originální název

Botnet C&C Traffic and Flow Lifespans Using Survival Analysis

Český název

Botnet C&C provoz a životnost toku pomocí analýzy přežití

Anglický název

Botnet C&C Traffic and Flow Lifespans Using Survival Analysis

Typ

článek v časopise

Jazyk

en

Originální abstrakt

This paper addresses the issue of detecting unwanted traffic in data networks, namely the detection of botnet networks. In this paper, we focused on a time behavioral analysis, more specifically said – lifespans of a simulated botnet network traffic, collected and discovered from NetFlow messages, and also of real botnet communication of a malware. As a method we chose survival analysis and for rigorous testing of differences Mantel–Cox test. Lifespans of those referred traffics are discovered and calculated by lifelines using Python language. Based on our research we have figured out a possibility to distinguish the individual lifespans of C&C communications that are identical to each other by using survival projection curves, although it occurred in a different time course.

Český abstrakt

Tento dokument řeší problém detekce nežádoucích dat v datových sítích, zejména zjištění botnet sítě. Tento článek se zaměřuje na časovou behaviorální analýzy, konkrétně řečeno – životnost simulovaného botnet síťového přenosu, shromážděn pomocí NetFlow zpráv. Dále je také zaměřen na komunikaci skutečné botnet sítě. Jako metodu jsme zvolili analýzu přežití a testování rozdílů pomocí Mantel-Cox testu. Životnost těchto uvedených síťových provozů je zkoumána pomocí balíčku lifelines jazyka Python. Na základě našeho výzkumu jsme zjistili možnost rozlišovat jednotlivé životnosti C&C komunikace, které jsou navzájem shodné, a to pomocí projekce křivky přežití, i když k ní došlo v jiném časovém průběhu.

Anglický abstrakt

This paper addresses the issue of detecting unwanted traffic in data networks, namely the detection of botnet networks. In this paper, we focused on a time behavioral analysis, more specifically said – lifespans of a simulated botnet network traffic, collected and discovered from NetFlow messages, and also of real botnet communication of a malware. As a method we chose survival analysis and for rigorous testing of differences Mantel–Cox test. Lifespans of those referred traffics are discovered and calculated by lifelines using Python language. Based on our research we have figured out a possibility to distinguish the individual lifespans of C&C communications that are identical to each other by using survival projection curves, although it occurred in a different time course.

Klíčová slova

Botnet, Délka životnosti, Modelování, NetFlow, Analýza

Vydáno

27.03.2017

Nakladatel

International Science and Engineering Society, o.s.

Místo

Czech Republic

Strany od

38

Strany do

44

Strany počet

7

URL

Plný text v Digitální knihovně

BibTex


@article{BUT134474,
  author="Václav {Oujezský} and Tomáš {Horváth} and Vladislav {Škorpil}",
  title="Botnet C&C Traffic and Flow Lifespans Using Survival Analysis",
  annote="This paper addresses the issue of detecting unwanted traffic in data networks, namely the detection of botnet networks. In this paper, we focused on a time behavioral analysis, more specifically said – lifespans of a simulated botnet network traffic, collected and discovered from NetFlow messages, and also of real botnet communication of a malware. As a method we chose survival analysis and for rigorous testing of differences Mantel–Cox test. Lifespans of those referred traffics are discovered and calculated by lifelines using Python language.
Based on our research we have figured out a possibility to distinguish the individual lifespans of C&C communications that are identical to each other by using survival projection curves, although it occurred in a different time course.",
  address="International Science and Engineering Society, o.s.",
  chapter="134474",
  doi="10.11601/ijates.v6i1.205",
  howpublished="online",
  institution="International Science and Engineering Society, o.s.",
  number="1",
  volume="6",
  year="2017",
  month="march",
  pages="38--44",
  publisher="International Science and Engineering Society, o.s.",
  type="journal article"
}