Topic 1: Real-Time Detection of Position Falsification Attacks in IoV Using Machine Learning
Paper Review
(a) CAN-Bus Attack Detection With Deep Learning
(b) Darknet Traffic Big-Data Analysis and Network Management for Real-Time Automating of the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework
2. Continue learning Machine Learning using my Online Udemy Course.
3. Commence exploring dataset related to real-time intrusion detection in IoV
4. Start writing my KICS/ETFA Paper
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
AI-Assisted Thermal array-based High Detection for Smart Home
1. Understanding the dataset generated by the public thermal array sensor dataset
2. Review and select the best machine learning algorithm for temperature sensor data
3. Learn to develop a machine learning algorithm with the thermal sensor-generated dataset
1. Review and study different sensor types to select the best for our project
2. Start developing machine learning algorithm for thermal sensor public dataset
1. Complete and Submit my paper for KICS/ETFA Paper
2. Learn to develop a machine learning algorithm with the thermal sensor-generated dataset
Monthly goals
3. Full familiarity with the latex environment.
1. Attend at least one Domestic Conference
2. Attend at least one International Conference
3. Submit one International Journal