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Kehinde Babaagba
Kehinde Babaagba
Dirección de correo verificada de napier.ac.uk
Título
Citado por
Citado por
Año
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
412019
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
72020
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
72019
Automatic generation of adversarial metamorphic malware using map-elites
KO Babaagba, Z Tan, E Hart
International conference on the applications of evolutionary computation …, 2020
62020
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
12023
Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware
KO Babaagba, M Ayodele
International Conference on the Applications of Evolutionary Computation …, 2023
12023
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
12022
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
12022
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
12017
A Design of an Agent Based System for Timetabling
KO Babaagba, SA Arekete
International Journal of Engineering Development & Research 5 (2), 1168–1175, 2017
12017
Exploring the use of fitness landscape analysis for understanding malware evolution
K Babaagba, R Murali, SL Thomson
2024
Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices
A Spalding, Z Tan, KO Babaagba
2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 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
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, ...
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Artículos 1–20