Papers

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 2020)

Title 03: Activity Pattern Recognition using Machine Learning Classifier for IoT-enabled Smart Home (Submitted to KICS Fall 2020)

Title 04: Malicious Activity Classification using Network Traffic Characteristics in Industrial Internet of Things.

Last Week's Progress

- Paper submitted to KICS Fall 2020.
- Analyzing vibration dataset from private room scenarios.
- Checking for validation of jumping data private home scenario.
- Analyzing IoT network Intrusion dataset
- Read Papers for Summer Intensive
-paper 1: An Efficient Anomaly Intrusion Detection Method with Feature Selection and Evolutionary Neural Network
-An approach to detect malicious activities using Cuckoo search algorithm and Artificial Neural Network.

This Week Todo's

- Analyzing IoT network Intrusion 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 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.

Project Progress

Emergency Detection Application for Smart Home

Last Week's Project

- Getting tested and validated jumping values of private home scenarios.
- Survey on LiDAR TiM1xx sensor and interface connections.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Preprocessing and labeling washroom scenario through Glink 200.

This Week's Project

- Getting tested and validated jumping values of private home scenarios.
- Survey on UWB breathing sensor and interface connections.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Working LiDAR, UWB breathing, temperature and IMU integrated together.

Monthly Goals

- 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.

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal