Estimating Software Obfuscation Potency with Artificial Neural Networks

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