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

- Working on ANN (first forward neural network) using R programming for KICS paper
- Learning R programming for evaluation
- Intending to finish KICS paper
- Working on performance evaluation using MATLAB for ICTC paper
- 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: 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

This Week Todo's

- 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.

Project Progress

Emergency Detection Application for Smart Factory

Last Week's Project

- Collecting vibration data based on jumping, falling in smart home scenarios.

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

This 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.

Monthly Goals

- Finishing KICS 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