An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware
Published in Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
Recommended citation: Babaagba, K. O., & Wylie, J. (2023). An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware. In GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (1753-1759). https://doi.org/10.1145/3583133.3596362 https://doi.org/10.1145/3583133.3596362
This paper investigates the use of an evolutionary Generative Adversarial Network (GAN) inspired approach to generate metamorphic Android malware.