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 Conference 2020

Title 03: Malicious Activity Classification using Network Traffic Characteristics in Industrial Internet of Things.

Last Week's Progress

- Replying to review comments for ICTC paper
- Preparing for 2nd Lab seminar
- Read paper for Lab seminar
-paper: Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network
- Collecting fall detection incident based on Ultra WideBand Radar and later applying Deep CNN and compare results with other classification techniques
- 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: 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: 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.
- Read Papers for KICS Fall 2020
-paper: Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network
- Collecting fall detection incident based on Ultra WideBand Radar and later applying Deep CNN and compare results with other classification techniques

Project Progress

Emergency Detection Application for Smart Home

Last Week's Project

- Experiment on working Glink 200 in washroom scenario for emergency detection.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Discussing with other members for suggestion on working Glink 200 and jetson nano together.
-Working on existing LiDAR sensor with jetson NANO.
- Getting brief identification from Velobit Lidar sensor.

This Week's Project

- Preprocessing and labeling washroom scenario through Glink 200.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Discussing with other members for suggestion on working Glink 200 and jetson nano together.
-Working on existing LiDAR sensor with jetson NANO.
- Getting brief identification from Velobit Lidar sensor.

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 and G Link 200 working together.

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal