Kehinde O. Babaagba

20 papers B 4Misc 1Journal 2Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Algorithm Explainability for Malware Evolution with Search Trajectory Networks.
GECCO Companion
Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson
2025 J jnl
Guest editorial: Big data technologies and applications in Web 3.0 - trends and challenges.
Int. J. Web Inf. Syst.
Zhiyuan Tan, Nour Moustafa, Xiangjian He, Kehinde O. Babaagba
2024 — conf
Exploring the use of fitness landscape analysis for understanding malware evolution.
GECCO Companion
Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson
2024 — conf
Graph Injection Attack Based on Node Similarity and Non-Linear Feature Injection Strategy.
SecureComm (4)
Qingru Li, Yanan Gao, Fangwei Wang, Changguang Wang, Kehinde O. Babaagba, Zhiyuan Tan
2024 — conf
Image Encryption Using Dynamic Salt Injection, Hybrid Chaotic Maps, and Dual Operation Substitution.
ICAC
Aizaz Ahmad Khattak, Kehinde O. Babaagba, Xiaodong Liu, Syed Aziz Shah
2024 — conf
Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware.
ESORICS Workshops (2)
Kehinde O. Babaagba, Jordan Wylie, Mayowa Ayodele, Zhiyuan Tan
2023 — conf
An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware.
GECCO Companion
Kehinde O. Babaagba, Jordan Wylie
2023 — conf
Can Federated Models Be Rectified Through Learning Negative Gradients?
BDTA
Ahsen Tahir, Zhiyuan Tan, Kehinde O. Babaagba
2023 B conf
Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices.
TrustCom
Aidan Spalding, Zhiyuan Tan, Kehinde O. Babaagba
2023 Misc conf
Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques.
ICISS
Luis Romero Gomez, Tess Watt, Kehinde O. Babaagba, Christos Chrysoulas, Aydin E. Homay, Raghuraman Rangarajan, Xiaodong Liu
2023 — conf
Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware.
EvoApplications@EvoStar
Kehinde O. Babaagba, Mayowa Ayodele
2023 — conf
Image Forgery Detection Using Cryptography and Deep Learning.
BDTA
Ayodeji Oke, Kehinde O. Babaagba
2022 — conf
A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs.
LOD (2)
Ross A. J. McLaren, Kehinde O. Babaagba, Zhiyuan Tan
2022 — conf
A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling.
DSC
Leigh Turnbull, Zhiyuan Tan, Kehinde O. Babaagba
2022 B ed.
Applications of Evolutionary Computation - 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings
EvoApplications
Juan Luis Jiménez Laredo, José Ignacio Hidalgo, Kehinde O. Babaagba
2022 J jnl
Toward machine intelligence that learns to fingerprint polymorphic worms in IoT.
Int. J. Intell. Syst.
Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li, Kehinde O. Babaagba, Zhiyuan Tan
2021 — —
Application of evolutionary machine learning in metamorphic malware analysis and detection
Kehinde O. Babaagba
2020 B conf
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites.
EvoApplications
Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart
2020 B conf
Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples.
CEC
Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart
2019 — conf
Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme.
DependSys
Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart