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Oluwafemi Olukoya
Título
Citado por
Citado por
Año
Assessing frameworks for eliciting privacy & security requirements from laws and regulations
O Olukoya
Computers & Security 117, 102697, 2022
432022
Security-oriented view of app behaviour using textual descriptions and user-granted permission requests
O Olukoya, L Mackenzie, I Omoronyia
Computers & Security 89, 101685, 2020
262020
Voice spoofing detection for multiclass attack classification using deep learning
J Boyd, M Fahim, O Olukoya
Machine Learning With Applications 14, 100503, 2023
252023
Distilling blockchain requirements for digital investigation platforms
O Olukoya
Journal of Information Security and Applications 62, 102969, 2021
142021
Towards using unstructured user input request for malware detection
O Olukoya, L Mackenzie, I Omoronyia
Computers & Security 93, 101783, 2020
132020
Runtime and design time completeness checking of dangerous android app permissions against GDPR
R McConkey, O Olukoya
IEEE Access, 2023
122023
Nation-state threat actor attribution using fuzzy hashing
M Kida, O Olukoya
IEEE Access 11, 1148-1165, 2022
122022
Permission-based risk signals for app behaviour characterization in Android apps
O Olukoya, L Mackenzie, I Omoronyia
42018
SQL injection attack: Detection, prioritization & prevention
A Paul, V Sharma, O Olukoya
Journal of Information Security and Applications 85, 103871, 2024
22024
A temporal analysis and evaluation of fuzzy hashing algorithms for Android malware analysis
M Fleming, O Olukoya
Forensic Science International: Digital Investigation 49, 301770, 2024
22024
Using approximate matching and machine learning to uncover malicious activity in logs
R Flynn, O Olukoya
Computers & Security, 104312, 2025
2025
Network-orchestrated security protocol for the Internet of Drones in O-RAN
N Donaghy, O Olukoya, K Rafferty, TQ Duong, V Sharma
15th International Conference on Broadband Communications, Networks, and Systems, 2024
2024
Addressing malware family concept drift with triplet autoencoder
NH Guldemir, O Olukoya, J Martinez-del-Rincon
The Eighteenth International Conference on Emerging Security Information …, 2024
2024
PEVuln: a benchmark dataset for using machine learning to detect vulnerabilities in PE malware
N Ross, O Olukoya, J Martinez-del-Rincon, D Carlin
Conference on Applied Machine Learning for Information Security, 2024
2024
Navigating concept drift and packing complexity in malware family classification
NH Guldemir, O Olukoya, J Martinez-del-Rincon
Conference on Applied Machine Learning for Information Security, 2024
2024
Privacy analysis of mobile apps
O Olukoya
2019
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Artículos 1–16