Jesse Ables

According to our database, Jesse Ables authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems.

Jesse Ables, Nathaniel Childers, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

CoRR, 2024

2023

Explainable Intrusion Detection Systems Using Competitive Learning Techniques.

Jesse Ables, Thomas Kirby, Sudip Mittal, Ioana Banicescu, Shahram Rahimi, William Anderson, Maria Seale

CoRR, 2023

2022

Designing an Artificial Immune System inspired Intrusion Detection System.

William Anderson, Kaneesha Moore, Jesse Ables, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

CoRR, 2022

Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities.

Subash Neupane, Jesse Ables, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

IEEE Access, 2022

Creating an Explainable Intrusion Detection System Using Self Organizing Maps.

Jesse Ables, Thomas Kirby, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

A Performance-Oriented Comparison of Neural Network Approaches for Anomaly-based Intrusion Detection.

Stefano Iannucci, Jesse Ables, William Anderson, Bhuvanesh Abburi, Valeria Cardellini, Ioana Banicescu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021