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.

Last Week's Progress

- 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

This Week Todo's

- Start writing performance evaluation and related works of short journal
- Read Papers for Summer Intensive
- paper 1: Identification of malicious activities in the 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
- Start reading papers for Winter Intensive
- paper 1: TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
- This paper presents Anomaly Detection System based on hybrid feature selection and two-level classier ensembles are proposed.

Project Progress

Emergency Detection Application for Smart Home

Last Week's Project

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

This Week's Project

- Some ML Classifications are still not applied to the UWB dataset
- Collecting more dataset based on creating new scenarios
- Finding out exact positioning and value range to detect emergency
- Start writing technical reports on UWB for the company

Monthly Goals

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

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal