Linda Amoako Banning

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 Access
2024Network Security and Intrusion DetectionDOI: 10.31893/multiscience.2025129

Sentiment analysis and classification of Ghanaian football tweets from the 2022 FIFA World Cup

Open Access
2024Sentiment Analysis and Opinion MiningDOI: 10.11591/ijeecs.v34.i1.pp497-507
Academic Metrics
DepartmentDepartment of Computer Science
Total Publications2
Research Themes2
Open Access Papers2

Department of Computer Science

Kwame Nkrumah University of Science and Technology

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