Papers

Paper 1: Evaluation of Machine Learning Algorithms for Intrusion Detection in Internet of Vehicles - ACCEPTED
Paper 2: Detecting Falsified Data in Intra-Vehicular Communication (Tentative)

Last Week's Progress

Paper 1: Evaluation of Machine Learning Algorithms for Intrusion Detection in Internet of Vehicles - ACCEPTED

Paper 2: Finalized ML model optimization.
Literature research about malicious node isolation after Intrusion Detection in IoV
Literature research about optimized decision tree algorithms for Intrusion Detection in IoV

This Week Todo's

Paper 2: Literature research about optimized decision tree algorithms for Intrusion Detection in Intra-Vehicular Networks
Extended study on feature engineering in machine learning for Intrusion Detection in IoV
Research about feature engineering with TinyML for Intra-Vehicular Networks

Project Progress

PurePet: Vet user page UI integration with the back end
Poind: Data augmentation using GAN for steel image dataset.
Digital Twin for Bridge: PHASE 1

Last Week's Project

PurePet: Integrating Vet user pages with the database.
Poind: Continued studying about using GAN for generating images.
Digital Twin for Bridge: Conducted background research about Digital Twin for Bridge
Digital Twin for Bridge case study
Progress team meeting

This Week's Project

PurePet: Finalize connecting Vet user pages to a database.
Poind: Continue studying GAN using different datasets.
Digital Twin for Bridge: Continue background research about Digital Twin for Bridge
Research about data exchange protocols when dealing with digital twin.

Monthly Goals

1. Study Blender
2. Integrate Unity with 3D models.
3. Complete feature engineering for IoV intrusion detection study

Annual Goals

1. Submit at least 2 journals.
2. Submit and attend at least one NSL-approved domestic conference.
3. Submit and attend one NSL-approved international conference.