Title 2: Real-time Detection of Position Falsification in Internet of Vehicles using Machine Learning(Accepted-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
(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)
Paper Review:
(i) Hybrid Invasive Weed Optimization and Squirrel Search algorithm-based NLOS nodes Localization Mechanism for improving reliable data dissemination in VANETs: Complete Review comments and submit to Review Leader.
Title 2: Complete and submit camera-ready copy and then proceed to conference registration
Title 3:Brainstorm to effectively effect review comments from ETFA for equivalent Journal Version of paper
Title 4: Paper Review:
(i) An Intelligent Secured Framework for Cyberattack Detection in Electric Vehicles’ CAN Bus Using Machine Learning
(ii) A Survey of Intrusion Detection for In-Vehicle Networks
AI-Assisted Thermal Array-Based High Emergency Detection for Smart Home
(i) Thermal sensor Dataset collection modeling two different falling scenarios and two different sensor resolution type
(ii) Dataset labeling and converting to CSV files
(i) Complete dataset collection and start labeling frames
(ii) Brainstorm with my project team member on the Deep Learning algorithms to be implemented on the collected dataset and compare results.
1. Submit Camera-Ready copy for ETFA
2. Complete the introduction and related works of the 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 Conferences
2. Attend at least one International Conference
3. Submit one International Journal