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Evaluation of Ensemble Learning for Android Malware Family Identification

Published in Journal of Guangzhou University (Natural Science Edition), 2020

This paper evaluates the effectiveness of an ensemble learning approach for the classification of Android malware families.

Recommended citation: Wylie, J., Tan, Z., Al-Dubai, A., & Wang, J. (2020). Evaluation of Ensemble Learning for Android Malware Family Identification. Journal of Guangzhou University (Natural Science Edition), 19(4), 28-41 http://researchrepository.napier.ac.uk/Output/2759936

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

This paper investigates the use of an evolutionary Generative Adversarial Network (GAN) inspired approach to generate metamorphic Android malware.

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

Poster Presentation on Federated Unlearning

Published: December 11, 2023

The poster was presented at a Carnegie Trust Scholars event. This poster provided an overview of my PhD project on federated unlearning and its verification.

CSN11128/9 Lab Demonstration

MSc module, Edinburgh Napier University, School of Computing, Engineering, and the Built Environment, 2024

This involved helping students during the practical labs of the Incident Response and Malware Analysis module.