Papers

Topic 1: Real-Time Detection of Position Falsification Attacks in IoV Using Deep Learning

Last Week's Progress

1. Paper Review
(a) Position Falsification Misbehavior Detection in VANETs
(b) On the Security of Networked Control Systems in Smart Vehicle
(c) Securing vehicular ad-hoc networks from data falsification attack

2. Implement Random Forest Classifier on the Basic Safety Message public dataset

3. Proceed to writing and compiling the related works section of my ETFA Paper

This Week Todo's

1. Complete the related works section of my ETFA paper

2. Paper Review
(a) VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs
(b) Attacks and countermeasures in the Internet of Vehicles
(c) Detection and Identification of Malicious Cyber-Attacks in Connected and Automated Vehicles’ Real-Time Sensors

3. System Model for ETFA/KICS Paper
(a) Start to model the public dataset using deep/transfer learning, then evaluate and compare the performance with other traditional machine learning models used earlier (Random Forest and Logistic Regression)
(b) Improve model by learning the art of data preprocessing and setting of hyperparameters

Project Progress

AI-Assisted Thermal array-based High Detection for Smart Home

Last Week's Project

1. Review and study different sensor types to select the best for our project

2. Developed a machine learning algorithm (CNN) for the thermal sensor public dataset with an accuracy of 99.5% and compared the results from last week with that of this week during the progress report presentation.

This Week's Project

1. Proceed to Learn the principle of deep/transfer learning so as to improve our machine learning model for the fall detection dataset

2. Wait for feedback from Professor and Project Leader for the way forward

3. Commence recording our progress report on the research note for the IoT Project

Monthly Goals

1. Complete and Submit my paper for KICS/ETFA Paper

2. Learn to develop a complete deep/transfer learning algorithm with the thermal sensor-generated dataset for emergency detection in private spaces

3. Fully familiarize with using latex software

Annual Goals

1. Attend at least one Domestic Conference

2. Attend at least one International Conference

3. Submit one International Journal