Papers

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

Last Week's Progress

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:
- Wrote "introduction" section
- Gathered several machine learning algorithms for the simulation

This Week Todo's

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

Project Progress

E-WAMS (Capstone Design 2 Class)

Last Week's Project

- Wrote a final report

This Week's Project

- Prepare for journal version

Monthly Goals

- 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

Annual Goals

- Able to participate at least in one international conference
- Able to write and submit at least one journal