all InfoSec news
Creating an Explainable Intrusion Detection System Using Self Organizing Maps. (arXiv:2207.07465v1 [cs.CR])
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
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
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)