Alifia Putri Anantha
Title 1:
Reducing Faulty Node Detection Delay in Industrial Internet of Things
Submitted to: KICS Summer 2019
Title 2:
Deep Reinforcement Learning with Edge Computing in Faulty-Node Detection for Industrial Internet of Things
Submitted to: Elsevier Manufacturing Letters
Title 3:
Edge Computing-based Anomaly Detection Using PSO and NBC for Industrial WSN
Target: International Conference
Title 4:
A Machine Learning Approach for Network Intrusion Detection Based on NSL-KDD Dataset
Target: Winter Intensive
Title 2:
- Status: With Editor
Title 3:
- Continued to work on the simulation
- Fine-tuned the 'detection scenario' section
- Read some references related to NBC as feature selection
Title 4:
- Found the topic
- Wrote the abstract
- Gathered several machine learning algorithms for the simulation
Title 2:
- Status: With Editor
Title 3:
- Continue to work on the simulation
- Fine-tuned the 'problem formulation' section
- Change the scheme's diagram block
Title 4:
- Read references related to network intrusion detection
- Choose a suitable target system or environment for the detection scheme
E-WAMS (Capstone Design 2 Class)
- Retrieved the data from MySQL database to PHP table
- Succeed on making the standalone database and the web-server
- Finished the project
- Write a final report
- Finish the simulation of paper 3
- Write a complete system design for paper 4
- Learn more about machine learning and deep learning methods
- Find some new trends in faulty node or anomaly detection
- Able to participate at least in one international conference
- Able to write and submit at least one journal