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Large-Scale Automated Software Diversity-Program Evolution Redux
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DOI：10.1109/TDSC.2015.2433252.png)
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Abstract
En 中文
The software monoculture favors attackers over defenders, since it makes all target environments appear similar. Code-reuse attacks, for example, rely on target hosts running identical software. Attackers use this assumption to their advantage by automating parts of creating an attack. This article presents large-scale automated software diversification as a means to shore up this vulnerability implied by our software monoculture. Besides describing an industrial-strength implementation of automated software diversity, we introduce methods to objectively measure the effectiveness of diversity in general, and its potential to eliminate code-reuse attacks in particular.
Keywords:
Biologically-inspired defenses
artificial software diversity
return-oriented programming
jump-oriented programming
code reuse attacks
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