Department of Computer SciencePhysical Sciences
Linda Amoako Banning
2 Publications2 Research Themes2 Open Access
Research Overview & Focus
The researcher focuses on advancing methods for detecting cyber threats such as man-in-the-middle (MITM) attacks using convolutional neural networks (CNNs), particularly in network security contexts within the physical sciences domain. Additionally, they investigate sentiment analysis and opinion mining techniques applied to sports analytics, with a specific example of analyzing Ghanaian football tweets from the 2022 FIFA World Cup to understand public sentiment on sports events. Their work bridges cybersecurity challenges with social behavior analysis, demonstrating interdisciplinary applications in both network security and sports analytics.
Key Research Themes (2)
Physical Sciences
Network Security and Intrusion Detection
Physical Sciences
Sentiment Analysis and Opinion Mining
Publications (2)
An improved man-in-the-middle (MITM) attack detections using convolutional neural networks
Open AccessSentiment analysis and classification of Ghanaian football tweets from the 2022 FIFA World Cup
Open AccessAcademic Metrics
DepartmentDepartment of Computer Science
Total Publications2
Research Themes2
Open Access Papers2
Department of Computer Science
Kwame Nkrumah University of Science and Technology