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 for Multi-Source Monitoring in Industrial Wireless Sensor Networks
Target: WFCS 2020
Title 4:
A Machine Learning Approach for Network Intrusion Detection Based on NSL-KDD Dataset
Target: Winter Intensive
Title 2:
- Status: Decision Pending
Title 3:
- Changed the conference target (ICUFN to WFCS)
- Added more details in 'System Model' section
- Made a new graph for Edge Computing of Sensor
- Showed a simulation result for Edge Computing of Base-station
Title 4:
- Fine-tuned ‘NSL-KDD Dataset’ and ‘Intrusion Detection Method’ sections
- Wrote ‘Classification Model’ and 'Evaluation Metrics’ subsections
- Determined the fix number of train set and test set
- Decided to use Google Colab instead of OPNET
- Did a simulation with 20% training set
- Reached 38-82% of accuracy
Title 2:
- Status: Decision Pending
Title 3:
- Extend the paper to 4 pages
- Add more details and explanation on 'Performance Evaluation' section
- Add simulation parameter setup table
Title 4:
- Write a clearer detection scenario
- Continue to do the simulation
- Try to maximize the accuracy
IoT Platform
- Discussed about suitable target system for the project
- Surveyed all materials related to IoT
- Survey more references about IoT Application
- Start to write the first draft of proposal
- Write a complete and clear system design for Title 4
- Finish the simulation code for Title 4
- Able to finish Title 3 and submit it to WFCS
- Able to 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