Report

Fabliha

July 13, 2020 - July 19, 2020

Papers

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

Title 02: A Deep Learning Approach to Network Intrusion Detection in Industrial Internet of Things

Title 03: Malicious Activity Detection using Deep Learning Approach in IoT Network.

20% Progress
Last Week's Progress

- Working on performance evaluation using MATLAB for ICTC paper
- Learning R programming for evaluation
- Read Papers for KICS and 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.
-paper 2: A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems
-introduces a framework named PriModChain that enforces privacy and trustworthiness on IIoT data by amalgamating differential privacy
-paper 3: IoT-KEEPER: Detecting Malicious IoT Network Activity Using Online Traffic Analysis at the Edge

This Week Todo's

- Working on performance evaluation using R programming for KICS paper
- Working on performance evaluation using MATLAB for ICTC paper
- Learning R Programming for evaluation
- Read Papers for KICS and 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: 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

IoT Application for Smart Home

20% Progress
Last Week's Project

- Waiting for reviews
- Learning LSTM approach to simulate and improves dataset

This Week's Project

- Waiting for reviews
- Studying machine learning approaches for emergency detection in IoT smart home, factories.

Monthly Goals

- Learning machine learning approach in MATLAB
- Learning Artificial Neural Network in R programming
- Learning basics about the new idea implementation for summer intensive
- Concluding journal paper from capstone design

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal