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 - ACCEPTED)
Paper 4: Explainability AI for Intrusion Detection in Internet of Vehicles (Tentative)
Paper 5: Federated Learning with Homomorphic Encryption for Privacy-Preserving Misbehavior Detection in Vehicular Networks (Tentative - ICAIIC)
Paper 2: Submitted for review
Paper 3: ACCEPTED
Paper 4: Finished model training and optimization
Paper 5: Paper Writing
Paper 4: Apply XAI using SHAP and LIME for different IoV datasets
Continue paper writing
Paper 5: Finish paper writing and submit
PurePet: Web application UI design
Poind: Data augmentation for steel image dataset.
PurePet: Adding a community forum page
Poind: Literature research related to steel surface defect recognition and data augmentation
PurePet: Continue redesigning web page
Poind: Implement latent diffusion for data augmentation on company dataset
1. Study homomorphic encryption
2. Finalize ICAIIC paper and submit
1. Submit at least 2 journals. (1 submitted)
2. Submit and attend at least one NSL approved domestic conference. (Achieved – KICS SUMMER 2024)
3. Submit and attend one NSL approved international conference.