Title 1: An Ensemble Learning-Based Approach to Position Falsification Detection in Internet of Vehicles (KICS- Summer Conference)
Title 2: Real-time Detection of Position Falsification in Internet of Vehicles using Machine Learning(ETFA)
Title 3: An Intelligent Secured Framework/Deep Learning Detection Framework for Location 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: IEEE Intelligent Transport System
Title 1: Submitted for KICS
Title 2: Submitted for ETFA: Awaiting Review Comments (July 7)
Title 3: Established for the "Summer Intensive" title and Brainstorming ideas for road map.
Title 4: Paper Review:
(a) A Survey of Intrusion Detection for In-Vehicle Networks
(b) Protecting ECUs and Vehicles Internal Networks
Title 2: Submitted for ETFA:
(i) Awaiting Review Comments
(ii) Respond to review comments (July 7)
Title 3 and 4
(i) Brainstorm Ideas for Summer intensive
(ii) Review of Related Literatures ((Preparation for Summer Intensive)
(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
(iii) Continue watching and familiarizing with deep learning videos and application
AI-Assisted Thermal array-based High Detection for Smart Home
(i) Review related work and researches on how to generate data from different thermal Sensors
(ii) Begin Dataset Collection
i) Set up testbed and begin dataset collection
(ii) Brainstorm on various scenarios for the dataset collection
1. Attend to review comments for ETFA
2. Fully familiarize with deep and transfer learning algorithms.
3. Brainstorm and come up with ideas for summer intensive and journal paper
4. Explore, check and study target journals in my research area
1. Attend at least one Domestic Conference
2. Attend at least one International Conference
3. Submit one International Journal