Report

Fabliha

February 8, 2021 - February 14, 2021

Papers

Title 01: Malicious Activity Classification using Network Traffic Characteristics in Industrial Internet of Things
IEEE Transactions on Industrial Informatics.

Title 02: Smart Factory Floor Safety Monitoring using UWB Sensor.
Targeted Journal not chosen yet.

10% Progress
Last Week's Progress

- Attending KICS Winter 2021 through the online session
- Making PPT for oral presentation of KICS Winter 2021


Title 02:
- Finish writing performance evaluation of short journal
- Read Papers for Summer Intensive
- paper 1: IoT-KEEPER: Detecting Malicious IoT Network Activity Using Online Traffic Analysis at the
Edge
- paper 2: Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning
- Developing a model to determine when computation offloading of the network and the processing
demands of the deep learning model.

Title 03:
- Read papers for Winter Intensive.
- Paper 1: Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network.
- This paper presents detecting and observing fall detection using Xethru radar sensor and then
applying deep CNN.
- Gave winter Intensive first presentation about the title.

This Week Todo's

Title 02:
- Finish writing simulation and performance evaluation of journal
- Read Papers for Summer Intensive
- paper 1: IoT-KEEPER: Detecting Malicious IoT Network Activity Using Online Traffic Analysis at the
Edge
- paper 2: Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning
- Developing a model to determine when computation offloading of the network and the processing
demands of the deep learning model.

Title 03:
- Read papers for Winter Intensive.
- Paper 1: Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network.
- This paper presents detecting and observing fall detection using Xethru radar sensor and then
applying deep CNN.
- Gave winter Intensive first presentation about the title.

Project Progress

Emergency Detection Application for Smart Home

10% Progress
Last Week's Project

- demonstrating and deciding to mount UWB with the company engineers for testing
- Collecting another UWB data based on the private home scenario
- Searching for UWB dataset for other ML Classification

This Week's Project

- Working with the company engineers to mount UWB for the experimen
- Searching for UWB dataset for other ML Classification Techniques

Monthly Goals

- Finishing summer intensive paper
- Writing Introduction and related works for winter intensive
- Learning machine learning approach in MATLAB
- Learning basics about the new idea implementation for winter intensive
- Finding the solution of LiDAR, UWB breathing, temperature, and IMU working together.

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal