AHAKONYE, LOVE ALLEN CHIJIOKE
Title 4: Classification and Characterization of Encoded Traffic in SCADA Network Using Hybrid Deep Learning Scheme
Target: Journal of Communication and Networks
Title 5: Low Computational Cost Convolutional Neural Network for Smart Grid Frequency Stability Prediction
Target: Elsevier IoT
Title 16: A Contemporary Survey of SCADA Intrusion Detection Frameworks: Approaches, Challenges, and Open Issues
Target: Surveys & Tutorials
Title 22: A Multi-MLP Prediction for Inventory Management in Manufacturing Execution System
Target: Elsevier IoT
Title 23: Trees Bootstrap Aggregation for Detection and Characterization of IoT-SCADA Network Traffic
Target: IEEE Transactions on Industrial Informatics
Title 24: Explainable Machine Learning for Intrusion Detection in the Industrial Internet of Things: LIME Approach
Target: IoT Magazine
Title 25: Statistical Process Routing Optimization in the Product Line for Industrial Internet of Things
Target: IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids
Title 26: Federated Framework for Detecting DDoS Attacks in IoT-SCADA Edge Caching for 6G Networks
Target: IEEE Transactions on Industrial Informatics
Title 27: X-HDNN: Explainable Hybrid DNN for Industrial Internet of Things Backdoor Attack Detection
Target: ICTC 2023
Title 4: Awaiting Acceptance
Title 5: Under review
Title 16: Paused to commence thesis
Title 22: Awaiting Acceptance
Title 23: Awaiting Acceptance
Title 24: Awaiting Acceptance
Title 25: Accepted
Title 26: Paused to begin thesis
Title 27: Accepted
Thesis:
i. Continued with the preliminary pages
ii. Continued with the introduction
iii. Commenced with the related works
Title 4: Awaiting Acceptance
Title 5: Under review
Title 16: Paused to commence thesis
Title 22: Awaiting Acceptance
Title 23: Awaiting Acceptance
Title 24: Awaiting Acceptance
Title 25: To upload a camera-ready copy
Title 26: Paused to commence thesis
Title 27: To upload a camera-ready copy
Thesis:
i. To continue with the preliminary pages
ii. To continue with the introduction
iii. To continue with the related works
Manufacturing Execution System (MES) Project - PHASES 2 AND 3
1. Continued guiding project members on article writing for Phase 2
2. Continued guiding project members on training more image classification models for anomaly detection
3. Continued guiding project members on deep learning model development for efficient image classification for anomaly detection
4. Received the acceptance of the submitted ICTC 2023 paper with project members on anomaly detection
5. Completed revision of the manuscript submission to the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids based on review comments
6. Continued supervision of the MES project and members' activity
1. To continue guiding project members on article writing for Phase 2
2. To continue guiding project members on training more image classification models for anomaly detection
3. To continue guiding project members on deep learning model development for efficient image classification for anomaly detection
4. To upload the camera-ready copy of ICTC 2023 paper on anomaly detection
5. To upload the camera-ready copy of the accepted manuscript submission to the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids.
6. To continue supervision of the MES project and members' activity
To complete thesis writing
To respond to review comments
1. To finalize thesis writing
2. Respond to review comments
3. To submit and attend all NSL-approved domestic conferences
4. To submit and attend NSL-approved International Conferences - (submitted 200%, presented 100%)
5. Submit at least two international journals - (submitted 100%)