Ebuka Nkoro
Title 1: Industrial Network Attack Vulnerability Detection and Analysis using Shodan Eye Scanning Technology.
Target: ICTC 2022(Accepted).
Title 2: Real-Time QR Code License Plate Detection in Vehicles Using Pyzbar.
Target: KICS Fall(Accepted).
-----> Anonymous Traffic Detection and Classification in the Metaverse using Machine Learning (in progress).
Finished baseline feature extraction and classification experiments using different machine learning Algorithms.
sourced previous Datasets Gathering for network traffic
Completed Surveyed related works
Compare results with related datasets and approaches
Write methodology and paper results
finalize system goals and approach
Metaverse and Digital Twin Assisted Battery Pack Management
Learnt unreal Engine - Blue prints and begun assigned tasks by group leader
Complete assigned tasks and finish learning plans for the month on blueprints
--> Complete Winter Intensive Paper and Obtain feedback/corrections.
--> Successfully carry out anonymous traffic classification with optimal results.
1.Study Digital Twins, unreal engine and master at least 1 Realtime CybersSecurity Tool
2.Complete Three Journal Papers
3.Complete 3 Domestic Conference Papers
4.Complete 2 International Conferences
5.Build and deploy a digital twin application