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).
Title 3: UDetect: Anonymous Network Traffic Classification in the Metaverse with Union Feature Selection.(UR)
Title 3: Performance Comparison of Kalman Filtering Approaches for Digital Twin-based Battery SoC Estimation JCCI 2023 (UR)
Studied code for Botnet network traffic
Studied security breaches report to get fresh ideas
Summarized a review paper on (White, Black and Grey box) Adversarial attacks
Survey Related works on Malware, Spywares
Finish ML classification for Botnet Traffic Analysis
Investigate metaverse network traffic
Metaverse and Digital Twin Assisted Battery Pack Management
1. Installed Autocad with academic license
2. Installed 3DS and created battery model
3. Studied documentation on how to embed model in unreal 5 with the fbx format
Build battery model to display battery SoC in charts
1. Complete paper article on Botnet Classification using AI
2. Obtain MLOps Security Certification
3. Deploy an ML model in Flask
4. Complete battery Digital Twin simulation
1.Study Digital Twins, unreal engine and master at least 1 Realtime Cybersecurity 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