Back to Search
Profile photo of Linda Amoako Banning

Linda Amoako Banning

Computer Science

View Official KNUST Profile

About

Staff has not updated content!

Research Summary

(inferred from publications by AI)

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.

Research Themes

Collaboration Network

7c46d032-57e4-4395-b35f-d5c8b0a2c8e0
Research Collaboration Map
Collaboration Frequency
Less
More

About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.