Title 2: Real-time Detection of Position Falsification in Internet of Vehicles using Machine Learning(ETFA)
Title 3: An Intelligent Framework for Safety Messages Verification in Vehicular Networks (Summer Intensive)
Target: IEEE Vehicular Technology
Title 4: Deep Learning-Based In-Vehicle Network Intrusion Detection System for CAN Bus
Target: ICTC/IEEE Intelligent Transport System
Title 2: Submitted for ETFA: Awaiting Review Comments (July 14th)
Title 3: Established for the "Summer Intensive" title and Brainstorming ideas for its road map.
Title 4:
(ii) Literature Review
(a) An Intelligent Secured Framework for Cyber Attack Detection in Electric Vehicles CAN Bus Using Machine Learning
(b) Anomaly Detection for Controller Area Networks Using Long Short-Term Memory
(i) Continue watching and familiarizing with deep learning videos, implementation, and application
(ii) Learn how to implement the "modified bat algorithm" for parameter optimization in one class classifications
(iii) Respond to review comments from ETFA (July 14th)
AI-Assisted Thermal array-based High Detection for Smart Home
(i) Set up testbed and begin dataset collection
(ii) Brainstorm on various scenarios for the dataset collection and begin dataset colleciton
(i) Thermal sensor Dataset collection modeling two different falling scenarios and two different sensor resolution type
(ii) Dataset labeling and converting to CSV files
(ii) Brainstorm with my project team member on Deep Learning algorithm to be implemented on the collected dataset
1. Attend to review comments for ETFA
2. Complete the introduction and related works of summer intensive paper
3. Fully familiarize with deep and transfer learning algorithms.
4. Explore, check and study target journals in my research area
1. Attend at least two Domestic Conference
2. Attend at least one International Conference
3. Submit one International Journal