Papers

Ahmad Zainudin

Title 1: Towards Low-Complexity Federated Learning-based Intrusion Detection and Classification in SDN-Enabled IIoT Networks (Processing)
Target: IEEE Journal

Title 2: FedDDoS: An Efficient Federated Learning-based DDoS Attacks Classification in SDN-Enabled IIoT Networks (Accepted)
Target: ICTC 2022

Title 3: Collaborative Learning for Cyber-Attack Detection in Maritime Transportation Systems (Accepted)
Target: ICMIC 2022

Title 4:Towards Lightweight Intrusion Identification in SDN-based Industrial Cyber-Physical Systems (Accepted)
Target: APCC 2022

Title 5: Privacy-Enhanced for Federated Learning-Based Intrusion Detection in Digital Twin-Enabled Industrial Cyber-Physical Systems (Summer Intensive) (Processing)
Target: IEEE Transactions on Industrial Informatics

Title 6: Intrusion Detection Systems for Digital Twin-Enabled Industrial IoT Networks: A Comprehensive Technical Survey (Processing)
Target: IEEE Journal

Last Week's Progress

Title 1:
*Train using SDN-based and IIoT federated-related cyber-security dataset for intrusion detection and classification
*Applying a filter-based feature selection technique (PCC, Chi-square)
*Continue to train a low-complexity model and try some network structures to find the best performance
*Continue evaluate the model performance
*Continue paper writing (Introduction, related works and proposed model)
*Continue read paper reviews for related works supporting
*Still increase accuracy performance with more attack classes

Title 2:
*Under Review

Title 3:
*Under Review

Title 4:
*Under Review

Title 5:
*Continue learning regarding federated learning-based model workflow and try to implement it
*Continue learn about some federated learning frameworks
*Try to modify a aggregation algorithm to support secure aggregation mechanism
*Read some related works
*Continue learning public dataset for intrusion detection in federated learning-based scenario (IoT-based and cyber-security dataset)
*Dataset preprocessing for federated learning-based security public dataset and applying feature selection techniques
*Learning regarding implementation of digital twin, and digital platform (unreal engine)
*Continue read paper review regarding network virtualization in digital twin
*Continue paper writing

Title 6:
*Continue papers review
*Brainstorming about proposed system than existing papers review
*Continue paper writing
*Continue learn regarding paper review workflow

This Week Todo's

Title 1:
*Train using SDN-based and IIoT federated-related cyber-security dataset for intrusion detection and classification
*Applying a filter-based feature selection technique (PCC, Chi-square)
*Continue to train a low-complexity model and try some network structures to find the best performance with different communication rounds
*Continue evaluate the model performance
*Continue paper writing (Introduction, related works and proposed model)
*Continue read paper reviews for related works supporting
*Still increase accuracy performance with more attack classes

Title 2:
*Accepted

Title 3:
*Accepted

Title 4:
*Accepted

Title 5:
*Continue learning regarding federated learning-based model workflow and try to implement it
*Continue learn about some federated learning frameworks
*Try to modify a aggregation algorithm to support secure aggregation mechanism
*Read some related works
*Continue learning public dataset for intrusion detection in federated learning-based scenario (IoT-based and cyber-security dataset)
*Dataset preprocessing for federated learning-based security public dataset and applying feature selection techniques
*Learning regarding implementation of digital twin, and digital platform (unreal engine)
*Continue read paper review regarding network virtualization in digital twin
*Conduct a digital twin environment using SDN platform
*Continue paper writing

Title 6:
*Continue papers review
*Brainstorming about proposed system than existing papers review
*Continue paper writing
*Continue learn regarding paper review workflow

Project Progress

Manufacturing Execution System (EMS) and HAR for Interactive Avatar in Metaverse

Last Week's Project

MES project
# Data preprocessing
# Train a public dataset for prediction scenario using ML and RNN

HAR for Interactive Avatar in Metaverse Project
# Paper review regarding motion capture and activity recognition for interactive avatar
# Continue project proposal writing
# Discuss with Lab members regarding possibility of gathering source as the input in metaverse platform (unreal engine) for interactive avatar

This Week's Project

MES project
# Data preprocessing
# Train a public dataset for prediction scenario using ML and RNN
# Train dataset using multi-stacked LSTM, Bi-LSTM and GRU
# Improve learning performance (MAE, MSE, RMSE, and MAPE) for prediction cases

HAR for Interactive Avatar in Metaverse Project
# Paper review regarding motion capture and activity recognition for interactive avatar
# Finishing project proposal writing
# Discuss with Lab members regarding possibility of gathering source as the input in metaverse platform (unreal engine) for interactive avatar

Monthly Goals

1. Working on summer intensive paper
2. Finishing summer intensive paper

Annual Goals

2022 Goals:
1. Submit at least two SCI or SCIE journals
{IEEE IoT Journal} (Published, August 8th, 2022)

2. Attend one international conference
{ICMIC 2022} (Accepted)
{APCC 2022} (Accepted)
{ICTC 2022} (Accepted)

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