Ahmad Zainudin
Title 1: An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks (Major Revision) – Winter Intensive
Submitted: IEEE Internet of Things Journal
Title 2: Towards Low-Complexity Privacy-Preserving DDoS Classification in SDN-Enabled IIoT Networks (Processing)
Target: IEEE Journal
Title 3: Privacy‐Preserving Federated Learning-based DDoS Classification for IIoT Networks(Submitted)
Submitted: KICS Summer 2022 (Accepted)
Title 4: FedDDoS: A Secure and Reliable Federated Learning-based DDoS Attacks Classification in IIoT(Processing)
Target: ICTC 2022
Title 5: Privacy-Enhanced for Efficient Federated Learning-Based Intrusion Detection in Industrial IoT Networks (Summer Intensive)(Processing)
Target: IEEE Transactions on Industrial Informatics
Title 6: Blockchain-Enabled Federated Learning-based Intrusion Detection for Industrial IoT Networks: A Technical Survey (Processing)
Target: IEEE Access
Title 7: An Intelligent Edge for Real-Time Multi Sensor Privacy Preserving Emergency System in Smart Space Using Federated Learning (Processing)
(IoT Project)
Target: IEEE Sensor Journal
Title 8: A Federated Learning-based Low-Complexity CNN for Privacy Preserving Activity Recognition in Edge Computing Environment(Processing)
(IoT Project)
Target: ICT Express
Title 1:
*Revision based on review comment
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
*Still working for solving GPU training process problem
Title 3:
*Continue preparing a presentation PPT file for paper presentation
*Attend KICS Summer
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 and add for related works part
*Federated learning-based training for more workers or clients
*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
*Starting for paper writing (introduction)
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
Title 1:
*Revision based on review comments
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)
*Read paper reviews
*Still increase accuracy performance with more attack classes
*Still working for solving GPU training process problem
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
*Compare some federated learning frameworks for getting the best results and related with our proposed system
* Continue for implementing a secure communication scenario
*Continue read some related works and add for related works part
*Federated learning-based training for more workers or clients
*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
*Continue 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
*Starting for paper writing (introduction and related works)
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
Human Activity Recognition using Integrated Thermal Array, UWB, Vibration sensor for Smart Home Application
# 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 and dataset labeling 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
# Follow up for company meeting result to increase real-time system performance
# Implement a Lite version deep learning model
# Consider a resource management for program workflow on the Jetson Nano to achieving a lower computational cost
# Continue implement low-cost python program with lite version deep learning model
# Preparing for prototype certification
# Attend KICS Summer 2022 for present IoT project paper (Adinda's paper)
# Continue conduct dataset collection and dataset labeling 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
# Follow up for company meeting result to increase real-time system performance
# Implement a Lite version deep learning model
# Consider a resource management for program workflow on the Jetson Nano to achieving a lower computational cost
# Continue implement low-cost python program with lite version deep learning model
# Prototype certification with company
# Follow up inspector requirements based on certification’s feedbacks
# Continue paper writing with project members
# Finishing a technical report and manual book with project members to the company
# Finishing a research note
1. Finishing project papers
2. Preparing International conference (ICTC) paper and IEEE Journal paper
3. Finishing IoT project works with members
4. Preparing and fixing for summer intensive topic
1. Submit at least two SCI or SCIE journals
{IEEE IoT Journal}(Major Revision)
2. Attend one international conference
3. Attend one domestic conference
{2022 KICS Winter Conference} (Published)
{2022 KICS Summer Conference} (Published)