Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Generic unpacking using entropy analysis

Authors: Guhyeon Jeong; Euijin Choo; Joosuk Lee; Munkhbayar Bat-Erdene; Heejo Lee;

Generic unpacking using entropy analysis

Abstract

Malwares attempt to evade AV scanners using various obfuscation techniques. Packing is a popular obfuscation technique used by 80% of malwares. In this paper, we propose a generic unpacking mechanism to find the original entry point (OEP) using entropy analysis. The experiment using 110 packed executables demonstrates the proposed mechanism can locate the OEPs of 72% of the packed executables. Furthermore, we show how the mechanism could be applied to packed malwares.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!