Benjamin Tei Partey

Benjamin Tei Partey

7 Publications5 Research Themes4 Open Access
Research Overview & Focus

The researcher focuses on developing comprehensive approaches across multiple domains—network security, energy integration, smart grids, data storage, and malware detection—to enhance security, sustainability, and reliability. Their work aims to address complex challenges in physical sciences by integrating advanced technologies such as machine learning for attack detection, renewable energy systems for resilience, efficient data storage methods, and sophisticated malware detection techniques.

Key Research Themes (5)
Physical Sciences

Advanced Data Storage Technologies

Physical Sciences

Advanced Malware Detection Techniques

Physical Sciences

Energy and Environment Impacts

Physical Sciences

Network Security and Intrusion Detection

Physical Sciences

Smart Grid Security and Resilience

Publications (7)

A Bibliometric-Scoping Review of Machine Learning and Metaheuristics in Optimization

Open Access

Enhancing AMI network security with STI model: A mathematical perspective

2024Smart Grid Security and ResilienceDOI: 10.1016/j.iot.2024.101244

Botnet attacks classification in AMI networks with recursive feature elimination (RFE) and machine learning algorithms

2023Network Security and Intrusion DetectionDOI: 10.1016/j.cose.2023.103456

Integration of Advanced Metering Infrastructure for Mini-Grid Solar PV Systems in Off-Grid Rural Communities (SoAMIRural)

Open Access
2023Energy and Environment ImpactsDOI: 10.3390/su15097526

Rsencarver": Enhancing File Carving Techniques with Error Correction Using the Reed Solomon Algorithm

Open Access
2023Advanced Data Storage TechnologiesDOI: 10.2139/ssrn.4579306

Deit-Mi: Advancing Malware Detection and Classification with Data-Efficient Image Transformers

Open Access
2023Advanced Malware Detection TechniquesDOI: 10.2139/ssrn.4606488

Enhancing Port Scans Attack Detection Using Principal Component Analysis and Machine Learning Algorithms

2022Network Security and Intrusion DetectionDOI: 10.1007/978-981-19-8445-7_8
Academic Metrics
DepartmentDepartment of Computer Science
Total Publications7
Research Themes5
Open Access Papers4

Department of Computer Science

Kwame Nkrumah University of Science and Technology

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