Report

Zaiahmad

June 13, 2022 - June 19, 2022

Papers

Ahmad Zainudin

Title 1: An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks (Under Review) – Winter Intensive
Submitted: IEEE Internet of Things Journal

Title 2: Towards Low-Complexity CNN for DDoS Classification in Software-Defined IIoT Networks (Processing)
Target: IEEE Journal

Title 3: Privacy‐Preserving Federated Learning-based DDoS Classification for IIoT Networks(Submitted)
Target: KICS Summer 2022

Title 4: FedDDoS: A Secure and Reliable Federated Learning-based DDoS Attacks Classification in IIoT(Processing)
Target: ICTC 2022

Title 5: Secure and Robust Federated Learning-based Network Intrusion Detection in Industrial IoT Networks (Processing)
Target: IEEE Journal

Title 6: Blockchain-Enabled Federated Learning-based Intrusion Detection for Industrial IoT Networks: A Technical Survey (Processing)
Target: IEEE Journal

Title 7: An Intelligent Edge for Real-Time Sensor-Based Human Activity and Breathing Monitoring for Emergency System in Smart Space Using Multimodal DNN Approach (Processing)
(IoT Project)
Target: ICT Express

Title 8: A Federated Learning-based Low-Complexity CNN for Activity Recognition Using Infrared Thermal Sensor in Edge Computing Environment(Processing)
(IoT Project)
Target: ICT Express

70% Progress
Last Week's Progress

Title 1:
*Under review
*Check periodically

Title 2:
*Continue to train a low-complexity model and try some network structures to find the best performance
*Continue paper writing (Introduction, related works and proposed model)
*Still increase accuracy performance with more attack classes

Title 3:
*Waiting for review comments
*Prepare for attending: registration

Title 4:
*Continue for simulation works and evaluate the system model with some metrics performance
*Continue read some related works
*Continue paper writing : Proposed system and Performance evaluation
*Fixing paper writing

Title 5:
*Brainstorming about system model and dataset pre-processing for federated learning scenario
*Learning regarding federated learning-based model workflow and try to implement it
*Learn about some federated learning frameworks
*Continue read some related works
*Learning public dataset for intrusion detection in federated learning-based scenario
*Dataset preprocessing for federated learning-based security public dataset

Title 6:
Paper Review (continue):
*Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenge
*Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis


Title 7:
*Update integrated sensor dataset
*Improve multimodal deep learning model and evaluate the performance using parallel processing scenario
*Continue updating introduction and related works
*Write proposed system part

Title 8:
*Continue paper writing for updated version
*Working on for performance evaluation in real-time system scenario
*Update introduction, related works, and system model

This Week Todo's

Title 1:
*Under review
*Check periodically

Title 2:
*Continue to train a low-complexity model and try some network structures to find the best performance
*Continue paper writing (Introduction, related works and proposed model)
*Still increase accuracy performance with more attack classes


Title 3:
*Accepted
*Prepare for attending: registration and accommodation
*Preparing a presentation PPT file

Title 4:
*Continue for simulation works with different scenario and evaluate the system model with some metrics performance
*Increase performance evaluation of federated deep learning model
*Implement a secure communication scenario
*Continue read some related works
*Continue paper writing : Proposed system and Performance evaluation
*Fixing paper writing

Title 5:
*Brainstorming about system model and dataset pre-processing for federated learning scenario
*Learning regarding federated learning-based model workflow and try to implement it
*Learn about some federated learning frameworks
*Continue read some related works
*Learning public dataset for intrusion detection in federated learning-based scenario
*Dataset preprocessing for federated learning-based security public dataset

Title 6:
*Continue papers review
*Brainstorming about proposed system than existing papers review

Title 7:
*Update integrated sensor dataset
*Improve multimodal deep learning model and evaluate the performance using parallel processing scenario
*Consider a lite version deep learning model
*Continue updating introduction and related works
*Write proposed system part

Title 8:
*Continue paper writing for updated version
*Working on for performance evaluation in real-time system scenario
*Update introduction, related works, and system model

Project Progress

Human Activity Recognition using Integrated Thermal Array, UWB, Vibration sensor for Smart Home Application

95% Progress
Last Week's Project

# Receive new prototype from company and check it
# Continue paper writing with project members
# Continue make a technical report and manual book with project member to the company
# Continue writing research note for reporting
# Conduct dataset collection for class with low accuracy
# Continue train integrated dataset with improved model and implement on the jetson nano for real-time system (4 model)
# Improve deep learning model with more dataset samples and testing in real-time system
# Preparing PPT and final report for meeting with company
# Preparing demo prototype to the company

This Week's Project

# Continue paper writing with project members
# Continue make a technical report and manual book with project members to the company
# Continue writing research note for reporting
# Continue conduct dataset collection for class with low accuracy
# Continue train integrated dataset with improved model and implement on the jetson nano for real-time system (4 model)
# Improve deep learning model with more dataset samples and testing in real-time system
# Meeting with company and demonstrate the deep learning performance in real-time system scenario
# Implement a Lite version deep learning model
# Consider a resource management for program workflow on the Jetson Nano to achieving a lower computational cost

Monthly Goals

1. Finishing project papers
2. Preparing International conference (ICTC) paper and IEEE Journal papers
3. Finishing IoT project works with members

Annual Goals

1. Submit at least two SCI or SCIE journals
{IEEE IoT Journal}(Under Review)

2. Attend one international conference

3. Attend one domestic conference
{2022 KICS Winter Conference} (Published)
{2022 KICS Summer Conference} (Submitted)