Papers

Title 01: IoT-Based HVAC Monitoring System for Smart Factory
(Submitted to ICTC)

Title 02: A Deep Learning Approach to Network Intrusion Detection in Industrial Internet of Things
(Submitted to KICS Summer Conference 2020)

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

Last Week's Progress

- 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
-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.
- Working on KICS Summer Conference 2020 reports.
- Submitted paper to ICTC Conference 2020.
- Analyzing IoT network Intrusion dataset and trying to learn Python.

This Week Todo's

- 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.
-paper 2 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
- Working on KICS Summer Conference 2020 reports.
- Analyzing IoT network Intrusion dataset and trying to learn Python.

Project Progress

Emergency Detection Application for Smart Factory

Last Week's Project

-Working on LiDAR sensor with jetson NANO.
- Getting brief identification from Velodyne Lidar sensor.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Working on Lidar and Vibration sensor to collect dataset in smart factory scenario.

This Week's Project

- Studying machine learning approaches for emergency detection in IoT smart home, factories.
-Working on existing LiDAR sensor with jetson NANO.
- Working on Lidar and Vibration sensor to collect dataset in smart factory scenario.
- Getting brief identification from Velodyne Lidar sensor.

Monthly Goals

- Finishing summer intensive paper
- Learning machine learning approach in MATLAB
- Learning basics about the new idea implementation for summer intensive
- Concluding journal paper from capstone design

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal