DeepAI AI Chat
Log In Sign Up

Creating an Explainable Intrusion Detection System Using Self Organizing Maps

by   Jesse Ables, et al.
Mississippi State University

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 visualizations. We leverage SOM's explainability to create both global and local explanations. An analyst can use global explanations to get a general idea of how a particular IDS model computes predictions. Local explanations are generated for individual datapoints to explain why a certain prediction value was computed. Furthermore, our SOM based X-IDS was evaluated on both explanation generation and traditional accuracy tests using the NSL-KDD and the CIC-IDS-2017 datasets.


page 4

page 7


Explaining Network Intrusion Detection System Using Explainable AI Framework

Cybersecurity is a domain where the data distribution is constantly chan...

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

The application of Artificial Intelligence (AI) and Machine Learning (ML...

An Adversarial Approach for Explainable AI in Intrusion Detection Systems

Despite the growing popularity of modern machine learning techniques (e....

Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response

Artificial Intelligence (AI) has become an integral part of modern-day s...

A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System

Cybersecurity has been a concern for quite a while now. In the latest ye...

Global Explanation of Tree-Ensembles Models Based on Item Response Theory

Explainable Artificial Intelligence - XAI is aimed at studying and devel...