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: International Conference
Title 4:
A Machine Learning Approach for Network Intrusion Detection Based on NSL-KDD Dataset
Target: Winter Intensive
Title 2:
- Status: Under Review
Title 3:
- Changed the conference target
- Changed the title
- Wrote a new abstract
- Fine-tuned the introduction
- Revised the system model and Fig 1
- Added Fig 2
Title 4:
- Read some references related to network intrusion detection
- Wrote ‘Intrusion Detection Method’ section
Title 2:
- Status: Decision Pending
Title 3:
- Add more details in 'System Model' section
- Make a new graph for Edge Computing of Sensor
- Show a simulation result for Edge Computing of Base-station
Title 4:
- Determine the fix number of train set and test set
- Consider to learn OPNET and use it if possible
IoT Platform (Smart Farm)
- Had first meeting
- 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 ICPS/ICUFN
- 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