Report

Fabliha

August 24, 2020 - August 30, 2020

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.

10% Progress
Last Week's Progress

- 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.
- 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: Intelligent intrusion detection systems using artificial neural networks.
-An approach to detect malicious shell code files using proposed ANN classifier.
-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
- Analyzing IoT network Intrusion dataset and trying to learn Python.

Project Progress

Emergency Detection Application for Smart Factory

10% Progress
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

- Have a demonstration of collecting vibration data using Glink 200 in front of Prof. and Company.
- 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.

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