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Found 6 papers, 0 papers with code
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems
The contributions of this work include the hybrid X-IDS architecture, the eclectic rule extraction algorithm applicable to intrusion detection datasets, and a thorough analysis of performance and explainability, demonstrating the trade-offs involved in rule extraction speed and accuracy.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+2
REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Response
In this paper, to enable this control functionality over an IRS, we create Rules of EngaGement for Automated cybeR Defense (REGARD) system which holds a set of Rules of Engagement (RoE) to protect the managed system according to the instructions provided by the human operator.
Explainable Intrusion Detection Systems Using Competitive Learning Techniques
Lastly, we analyze the statistical and visual explanations generated by our architecture, and we give a strategy that users could use to help navigate the set of explanations.
Designing an Artificial Immune System inspired Intrusion Detection System
The Human Immune System (HIS) works to protect a body from infection, illness, and disease.
Creating an Explainable Intrusion Detection System Using Self Organizing Maps
We leverage SOM's explainability to create both global and local explanations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+2
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity challenges has gained traction in industry and academia, partially as a result of widespread malware attacks on critical systems such as cloud infrastructures and government institutions.
Explainable Artificial Intelligence (XAI)
Intrusion Detection
