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.

Last Week's Progress

- Finished KICS paper and submitted to Prof. for proofreading.
- Working on performance evaluation using MATLAB for ICTC paper
- Collecting and analyzing IoT network Intrusion dataset
- Read Papers for Summer Intensive
-paper 2: 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 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

- 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.
-paper 2: An Efficient Anomaly Intrusion Detection Method With Feature Selection and Evolutionary Neural Network
-An approach to detect malicious activities using Cuckoo search algorithm and Artificial Neural Network.
- Attending KICS summer conference and prepare for presentation in conference.
- Working on performance evaluation using MATLAB for ICTC paper
- Collecting and analyzing IoT network Intrusion dataset.

Project Progress

Emergency Detection Application for Smart Factory

Last Week's Project

- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Working on Lidar and Vibration sensor to collect dataset in smart factory scenario.
- Collected data from vibration sensor from private room scenario

This Week's Project

-Writing a brief discussion on how to collect vibration data from private room scenario.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Working on Lidar and Vibration sensor to collect dataset in smart factory scenario.

Monthly Goals

- Finishing summer intensive paper
- Learning machine learning approach in MATLAB
- 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