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:
- Extended the paper to 4 pages
- Added more details and explanation on 'Performance Evaluation' section
- Added simulation parameter setup table
Title 4:
- Fine-tuned the abstract and keywords
- Wrote 'Performance Evaluation' section
- Added Table II and III
- Wrote conclusion
Title 2:
- Status: Rejected
- Consider to resubmit it to ICT Express
Title 3:
- Finish the paper within this week
- Grammatical error and similarity check
Title 4:
- Give a clearer explanation on the detection scenario
- Continue to do the simulation
- Try other feature selection techniques to maximize the accuracy
IoT Platform
- Survey on basic of IoT
- Read more references related to IoT Application
- Finish the simulation result for Title 4
- Finalize 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