| A study on the effect of feature selection on malware analysis using machine learning KO Babaagba, SO Adesanya Proceedings of the 2019 8th international conference on educational and …, 2019 | 40 | 2019 |
| Improving classification of metamorphic malware by augmenting training data with a diverse set of evolved mutant samples KO Babaagba, Z Tan, E Hart 2020 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2020 | 7 | 2020 |
| Nowhere metamorphic malware can hide-a biological evolution inspired detection scheme KO Babaagba, Z Tan, E Hart International Conference on Dependability in Sensor, Cloud, and Big Data …, 2019 | 7 | 2019 |
| Automatic generation of adversarial metamorphic malware using map-elites KO Babaagba, Z Tan, E Hart International conference on the applications of evolutionary computation …, 2020 | 6 | 2020 |
| Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware KO Babaagba, M Ayodele International Conference on the Applications of Evolutionary Computation …, 2023 | 1 | 2023 |
| A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs RAJ McLaren, KO Babaagba, Z Tan International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 1 | 2022 |
| A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling L Turnbull, Z Tan, KO Babaagba 2022 IEEE Conference on Dependable and Secure Computing (DSC), 1-9, 2022 | 1 | 2022 |
| A Review of Agent Based University Course Time Tabling Systems KO Babaagba, SA Arekete International Journal of Engineering Development & Research 5 (2), 566–568, 2017 | 1 | 2017 |
| A Design of an Agent Based System for Timetabling KO Babaagba, SA Arekete International Journal of Engineering Development & Research 5 (2), 1168–1175, 2017 | 1 | 2017 |
| A Generative Neural Network for Improving Metamorphic Malware Detection in IoT Mobile Devices L Turnbull, Z Tan, KO Babaagba Internet of Things Security and Privacy, 24-53, 2023 | | 2023 |
| Can Federated Models Be Rectified Through Learning Negative Gradients? A Tahir, Z Tan, KO Babaagba International Conference on Big Data Technologies and Applications, 18-32, 2023 | | 2023 |
| Image Forgery Detection Using Cryptography and Deep Learning A Oke, KO Babaagba International Conference on Big Data Technologies and Applications, 62-78, 2023 | | 2023 |
| Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices A Spalding, Z Tan, KO Babaagba | | 2023 |
| Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques LR Gomez, T Watt, KO Babaagba, C Chrysoulas, A Homay, R Rangarajan, ... Proceedings of the 2023 6th International Conference on Information Science …, 2023 | | 2023 |
| An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware KO Babaagba, J Wylie Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |
| Applications of Evolutionary Computation: 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings JLJ Laredo, JI Hidalgo, KO Babaagba Springer Nature, 2022 | | 2022 |
| Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT F Wang, S Yang, C Wang, Q Li, KO Babaagba, T Z. International Journal of Intelligent Systems., 2021 | | 2021 |
| Application of Evolutionary Machine Learning in Metamorphic Malware Analysis and Detection KO Babaagba Edinburgh Napier University, 2020 | | 2020 |
| Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques RG Luis, T Watt, KO Babaagba, C Chrysoulas, A Homay, R Rangarajan, ... | | |
| Steering Committee Chairs L Han, L Liu, C Luo, F Al-Turjman, J Li | | |
Dr. Zhiyuan TanAssociate Professor in Cyber Security, Edinburgh Napier University, UKVerified email at napier.ac.uk
