Report

Fabliha

December 21, 2020 - December 27, 2020

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: Activity Pattern Recognition using Machine Learning Classifier for IoT-enabled Smart Home
Submitted to KICS Fall Conference 2020

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

10% Progress
Last Week's Progress

- Finish writing experimental setup of short journal
- Analyzing IoT network Intrusion dataset
- Doing simulation using Matlab of IoT dataset
- 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.

This Week Todo's

- Start writing simulation and dataset description of short journal
- Analyzing IoT network Intrusion dataset
- Doing simulation using Matlab of IoT dataset
- 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

Project Progress

Emergency detection system using Machine Learning for Smart Home

10% Progress
Last Week's Project

- Doing ML simulation using Matlab of the private home vibration dataset
- Working on a system model of integrated sensor setup for emergency detection
- More experiment with UWB sensor with Realterm software

This Week's Project

- Submitted IoT project progress to Capstone design (2)
- More experiment and collection of dataset creating new scenarios

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