Paper 1: Evaluation of Machine Learning Algorithms for Intrusion Detection in Internet of Vehicles
Target: KICS SUMMER 2024 - ACCEPTED
Paper 2: Detecting Falsified Data in Intra Vehicular Communication (Tentative)
Target: IEEE IoT
Paper 3: Adaptive Federated Learning with Dynamic Model Selection for DDoS Attack Detection in VANETs
Paper 2: Continued Paper writing
Paper 3: Federated learning-related literature survey
Continued paper writing
Paper 2: Further research on Intra Vehicular Networks
Continue paper writing
Further literature survey on Blockchain and AI for intrusion detection in IoV
Paper 3: Complete and submit paper
PurePet: Vet user page UI integration with the back end
Poind: Data augmentation using GAN for steel image dataset.
Poind: Data augmentation techniques – diffusion models
PurePet: New UI design for web
Poind: Data augmentation techniques implementation
PurePet: Continue UI design for web
1. Submit Paper 3
2. Complete writing Paper 2
3. Data augmentation using GAN and diffusion models
1. Submit Paper 3
2. Complete writing Paper 2
3. Data augmentation using GAN and diffusion models