Title 2: Real-time Detection of Position Falsification in Internet of Vehicles using Machine Learning(Accepted-ETFA)
Title 3: Safety Messages Verification in Vehicular Networks Using Machine Learning (Summer Intensive)
Target: IEEE Vehicular Technology
Title 4: Countering Attacks in CAN Bus Protocol: A Deep Learning Approach
Target: ICTC/IEEE Intelligent Transport System
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
(i) Learn how to implement the "modified bat algorithm" for parameter optimization in one class classifications
ii) Continue watching and familiarizing with deep learning videos, implementation, and application
AI-Assisted Thermal array-based High Detection for Smart Home
(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.
Explore various deep learning Algorithms on the labeled dataset
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