Title 01: IoT-Based HVAC Monitoring System for Smart Factory
Accepted to ICTC
Title 02: A Deep Learning Approach to Network Intrusion Detection in Industrial Internet of Things
Accepted to KICS Summer Conference 2020
Title 03: Activity Pattern Recognition using Machine Learning Classifier for IoT-enabled Smart Home
Submitted to KICS Fall Conference 2020
Title 04: Malicious Activity Classification using Network Traffic Characteristics in Industrial Internet of Things.
- Finish writing System model and experimental setup of short journal
- Analyzing IoT network Intrusion dataset
- Doing simulation using Matlab of IoT dataset
- Read Papers for Summer Intensive
-paper 1: IoT-KEEPER: Detecting Malicious IoT Network Activity Using Online Traffic Analysis at the Edge
-An approach to detect malicious activities in online network traffic and use Adhoc overlay network
- paper 2: Identification of malicious activities in the industrial internet of things based on deep learning models
- This paper proposes an anomaly detection technique for IICSs based on deep learning models that can learn and validate using information collected from TCP/IP packets.
- Finish writing experimental setup of short journal
- Analyzing IoT network Intrusion dataset
- Doing simulation using Matlab of IoT dataset
- Read Papers for Summer Intensive
- paper 1: Identification of malicious activities in industrial internet of things based on deep learning models
- This paper proposes an anomaly detection technique for IICSs based on deep learning models that can learn and validate using information collected from TCP/IP packets.
Emergency Detection Application for Smart Home
- Doing ML simulation using Matlab of the private home vibration dataset
- Working on a system model of integrated sensor setup for emergency detection
- More experiment with UWB sensor with Realterm software
- Writing technical reports of IoT projects for capstone design (2)
- More experiment with UWB sensor with Realterm software
- Creating a smart home scenario to collect data of RP Lidar
- Finishing summer intensive paper
- Learning machine learning approach in MATLAB
- Learning basics about the new idea implementation for summer intensive
- Finding solution of LiDAR, UWB breathing, temperature and IMU working together.
- Attend International and Domestic Conference
- Complete a short Journal