Maximize
Bookmark

VX Heaven

Library Collection Sources Engines Constructors Simulators Utilities Links Forum

Visualizing Windows Executable Viruses Using Self-Organizing Maps

InSeon Yoo
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security, pp.82-89
ISBN 1-58113-974-8
October 2004

1
PDFDownload PDF (531.02Kb) (You need to be registered on forum)
[Back to index] [Comments]

Abstract

This paper concentrates on visualizing computer viruses without using virus specific signature information as a prior stage of the very important problem of detecting computer viruses. In this paper, we address the fact that each viruses have its own character to be distinguished although it is inserted in the executable file. They cannot hide their own feature through the SOM visualization; this feature is like a DNA to determine an individual's unique genetic code. We present how virus codes affect the whole program projection. Without each virus signature, we present how the virus pattern in Windows executable files tells us their family. We show that the variant of each virus also can be covered with each virus mask, which is produced by SOM. We also present the file structure based SOMs of Windows executable files.

[Read the article]

By accessing, viewing, downloading or otherwise using this content you agree to be bound by the Terms of Use! vxheaven.org aka vx.netlux.org
deenesitfrplruua