botnet c&c traffic and flow lifespans using survival analysis

Clicks: 214
ID: 214771
2017
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Abstract
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.
Reference Key
oujezsky2017internationalbotnet Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Vaclav Oujezsky;Tomas Horvath;Vladislav Skorpil
Journal química nova
Year 2017
DOI
10.11601/ijates.v6i1.205
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