GABRIEL AMAIZU
Title 1: Hybrid Deep Neural Network for Malicious DNS Infiltration Detection System (Co-worked with Dani)
Target: ICT Express
Title 2: A Composite and Efficient DDoS Attack Detection Framework for B5G
Target: Computer Networks (Accepted)
Title 3: A Hybrid Filter-wrapper-based Feature Selection Approach for Cost-Efficient DDoS Attack Detection
Target: IEEE Internet of Things (Submitted)
Title 4: A Two-Stage Classification Technique for Malicious DNS Identification
Target: ICAIIC (Submitted)
Title 5: Synthesized Machine Learning Model for Cost-efficient Distributed Denial of Service Attacks Detection in Industrial Internet of Things
Target: Thesis
Title 2:
[1] Uploaded final draft for publication
Title 5:
[1] Fixed thesis scope
[2] Concluded on the title
Title 1:
[1] See if paper can be further improved
Title 5:
[1] Writing of abstract and introduction section
Machine Vision based 3D printer Inspector in Large-Scale Manufacturing Environment
[1] Send final results of the machine learning to project leader
[1] Getting my feet wet with the various NSL tools/apparatus.
[2] Review/subsequent upgrade of my skill set.
[3] Deep dive into Machine Learning
[1] Writing and submitting at the very least three international papers (conference and journal)