Rexford Nii Ayitey Sosu
Orcid: 0000-0001-5527-5114
According to our database1,
Rexford Nii Ayitey Sosu authored at least 17 papers
between 2020 and 2026.
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Bibliography
2026
DP-S3: software defect prediction through feature fusion with syntax trees, program slices and standard features.
Comput. J., 2026
2025
Self-Efficacy, Innovativeness, and Their Influence on Cybersecurity Compliance Intentions Among Public-Sector Employees in Sierra Leone.
IEEE Technol. Soc. Mag., June, 2025
eBiTCN: Efficient bidirectional temporal convolution network for encrypted malicious network traffic detection.
J. Comput. Secur., 2025
MTCR-AE: A Multiscale Temporal Convolutional Recurrent Autoencoder for unsupervised malicious network traffic detection.
Comput. Networks, 2025
Detecting encrypted malicious traffic with HEAT: a header-focused deep learning approach.
Comput. J., 2025
A Hybrid Analysis Method for Android Malware Classification based on Static and Dynamic Features with Machine Learning.
Proceedings of the 25th International Conference on Software Quality, 2025
HFF-JIT: A Hybrid Fuzzing Framework for JIT Compiler Vulnerability Detection in JavaScript.
Proceedings of the 25th International Conference on Software Quality, 2025
2024
DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization.
ACM Trans. Priv. Secur., November, 2024
J. Softw. Evol. Process., September, 2024
IEEE Trans. Inf. Forensics Secur., 2024
CD-BTMSE: A Concept Drift detection model based on Bidirectional Temporal Convolutional Network and Multi-Stacking Ensemble learning.
Knowl. Based Syst., 2024
Exploiting DBSCAN and Combination Strategy to Prioritize the Test Suite in Regression Testing.
IET Softw., 2024
2023
RecGuard: An efficient privacy preservation blockchain-based system for online social network users.
Blockchain Res. Appl., 2023
2022
MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams.
Inf. Sci., 2022
2021
An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints.
Inf. Sci., 2021
2020
Proceedings of the 43rd International Convention on Information, 2020