Università degli Studi di Cagliari
Estimating Software Obfuscation Potency with Artificial Neural Networks
REGANO, LEONARDO;
2017-01-01
Abstract
This paper presents an approach to estimate the potency of obfuscation techniques. Our approach uses neural networks to accurately predict the value of complexity metrics – which are used to compute the potency – after an obfuscation transformation is applied to a code region. This work is the first step towards a decision support to optimally protect software applications.
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