Papers

Title 01: IoT-Based HVAC Monitoring System for Smart Factory
Accepted to ICTC

Title 02: Activity Pattern Recognition using Machine Learning Classifier for IoT-enabled Smart Home
Submitted to KICS Fall Conference 2020

Title 03: Malicious Activity Classification using Network Traffic Characteristics in Industrial Internet of Things.

Last Week's Progress

- 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.

This Week Todo's

- Finish writing introduction and start writing performance evaluation of short journal
- 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.
- 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

Project Progress

Emergency Detection Application for Smart Home

Last 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

This Week's Project

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

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 summer intensive
- Finding solution of LiDAR, UWB breathing, temperature and IMU working together.

Annual Goals

- Attend International and Domestic Conferences
- Complete a short Journal