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 (Under Review)
Paper 3: Resource-Aware Adaptive Federated Learning for Enhanced DDoS Detection in Vehicular Ad Hoc Networks (ICTC 2024 - ACCEPTED)
Paper 4: Paper 4: Homomorphic Encryption for Privacy-Preserving Misbehavior Detection in Distributed Vehicular Networks (ICAIIC)
Paper 5: Blockchain-Enhanced Intrusion Detection System for Distributed Vehicular Networks (KICS FALL)
Paper 6: Few-Shot Synthetic Data Augmentation for Enhanced Steel Surface Defect Detection (From Poind Project – Co-working with Adnan) (JCN)
Paper 3: Presented at ICTC Conference
Paper 4: Submitted
Paper 5: Submitted
Paper 6: Literature research on defect generation in steel surfaces
Paper writing
PurePet: Web application UI design
Poind: Data augmentation for steel image dataset.
PurePet: Web UI design
Poind: Classification of defect and defect free images from using the latent diffusion model
PurePet: Web UI design
Poind: Image generation with latent diffusion on company dataset
1. Study homomorphic encryption and optimization techniques
2. Finalize ICAIIC paper and submit (Done)
3. Study on the application of Blockchain in vehicular networks
4. Complete paper 6
1. Submit at least 2 journals. (1 submitted – IEEE IoT)
2. Submit and attend at least one NSL approved domestic conference. (Achieved – KICS SUMMER 2024)
3. Submit and attend one NSL approved international conference. (Achieved – ICTC 2024)