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 5: Homomorphic Encryption in Federated Learning for IoV
Paper 2: Submitted for review
Paper 3: Submitted for review
Paper 4: XAI in IoV literature review
Studying different XAI techniques
Additional model training and applying XAI
Paper 5: Literature study on the implementation of homomorphic encryption in the Internet of Vehicles
Paper 4: Continue model training and optimization, applying XAI using SHAP and LIME for different IoV datasets
Continue paper writing
Paper 5: Continue literature study on the implementation of homomorphic encryption in the Internet of Vehicles
PurePet: Web application UI design
Poind: Data augmentation for steel image dataset.
PurePet: User, vet, admin additional page design
Poind: Image data labeling
PurePet: Aligning web application development with mobile app
Poind: Study stable diffusion
1. Study homomorphic encryption
2. Study honeypot implementation in IoV
3. Finalize web application design
4. Study diffusion techniques for data augmentation
1. Submit at least 2 journals.
2. Submit and attend at least one NSL approved domestic conference. (Achieved – KICS SUMMER 2024)
3. Submit and attend one NSL approved international conference.