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 (SSCI, 2021)

Creating an Explainable Intrusion Detection System Using Self Organizing Maps. - Jesse Ables; Thomas Kirby; William Anderson; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale (SSCI, 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 001; Ioana Banicescu; Maria Seale (IEEE Access, 2022)

Designing an Artificial Immune System inspired Intrusion Detection System. - William Anderson; Kaneesha Moore; Jesse Ables; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale (CoRR, 2022)

Explainable Intrusion Detection Systems Using Competitive Learning Techniques. - Jesse Ables; Thomas Kirby; Sudip Mittal; Ioana Banicescu; Shahram Rahimi 001; William Anderson; Maria Seale (CoRR, 2023)

Enhancing Explainability and Trustworthiness of Intrusion Detection Systems Using Competitive Learning. - Jesse Ables; Thomas Kirby; William Anderson; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale; Thomas Arnold; Joseph Jabour 001 (CIC, 2024)

Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems. - Jesse Ables; Nathaniel Childers; William Anderson; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale (CoRR, 2024)