Report

Fabliha

September 7, 2020 - September 13, 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.
- Intend to write a short journal

10% Progress
Last Week's Progress

- 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.

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: 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.

- Trying to learn python for artificial neural network.

Project Progress

Emergency Detection Application for Smart Home

10% Progress
Last 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 Velobit Lidar sensor.

This Week's Project

- 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.

- Experiment on working Glink 200 and jetson nano together.

- 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