July 18, 2022, 1:20 a.m. | Jesse Ables, Thomas Kirby, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

cs.CR updates on arXiv.org arxiv.org

Modern Artificial Intelligence (AI) enabled Intrusion Detection Systems (IDS)
are complex black boxes. This means that a security analyst will have little to
no explanation or clarification on why an IDS model made a particular
prediction. A potential solution to this problem is to research and develop
Explainable Intrusion Detection Systems (X-IDS) based on current capabilities
in Explainable Artificial Intelligence (XAI). In this paper, we create a Self
Organizing Maps (SOMs) based X-IDS system that is capable of producing
explanatory …

detection intrusion intrusion detection intrusion detection system system

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Security Engineer 2

@ Oracle | BENGALURU, KARNATAKA, India

Oracle EBS DevSecOps Developer

@ Accenture Federal Services | Arlington, VA

Information Security GRC Specialist - Risk Program Lead

@ Western Digital | Irvine, CA, United States

Senior Cyber Operations Planner (15.09)

@ OCT Consulting, LLC | Washington, District of Columbia, United States

AI Cybersecurity Architect

@ FactSet | India, Hyderabad, DVS, SEZ-1 – Orion B4; FL 7,8,9,11 (Hyderabad - Divyasree 3)