Paper 1: Evaluation of Machine Learning Algorithms for Intrusion Detection in Internet of Vehicles
Target: KICS SUMMER 2024 - ACCEPTED
Paper 2: Blockchain-Enhanced Feature Engineered Data Falsification Detection in 6G IoV Networks
Target: IEEE IoT Special Issue on Security and Privacy of Intelligent Vehicles
Paper 3: Resource-Aware Adaptive Federated Learning for Enhanced DDoS Detection in Vehicular Ad Hoc Networks (ICTC 2024)
Paper 4: Explainability AI for Intrusion Detection in Internet of Vehicles (Tentative)
Paper 2: Submitted for review
Paper 3: Submitted for review
Paper 4: XAI in IoV literature review
Studying different XAI techniques
Model training and applying XAI
Paper 4: Continue model training, applying XAI using different techniques and datasets
Start paper writing
PurePet: user page UI integration with the back end
Poind: Data augmentation using GAN for steel image dataset.
PurePet: UI design for website: admin dashboard, admin manage groups page, vet profile page
Poind: Data augmentation using DCGAN on new company dataset
Poind: Data augmentation using diffusion technique
PurePet: Continue designing admin pages
1. Submit Paper 3 (achieved)
2. Complete writing Paper 2 (achieved)
3. Data augmentation using GAN and diffusion models
4. Learn Explainability AI in IoV
5. Blockchain in IoV research
1. Submit at least 2 journals.
2. Submit and attend at least one NSL approved domestic conference. (Achieved)
3. Submit and attend one NSL approved international conference.