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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computers & Securityarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computers & Security
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2024
Data sources: DBLP
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A taxonomy of self-modifying code for obfuscation

Authors: Nikos Mavrogiannopoulos; Nessim Kisserli; Bart Preneel;

A taxonomy of self-modifying code for obfuscation

Abstract

Self-modifying code is frequently used as an additional layer of complexity when obfuscating code. Although it does not provide a provable level of obfuscation, it is generally assumed to make attacks more expensive. This paper attempts to quantify the cost of attacking self-modified code by defining a taxonomy for it and systematically categorising an adversary's capabilities. A number of published methods and techniques for self-modifying code are then classified according to both the taxonomy and the model.

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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!
38
Top 10%
Top 10%
Top 10%
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