Edge-LLM-XAI-IDS: Explainable LLM-XAI Framework for Edge IDS (v1.1)
Abstract
This release provides the reproducible implementation used in the experimental evaluation of the paper: “An Explainable LLM-XAI Framework for Signature Generation in Edge Intrusion Detection Systems.” The framework introduces a lightweight, edge-deployable architecture that leverages: Large Language Models (LLMs) for automated signature generation Explainable AI (XAI) techniques to improve transparency and analyst trust Hybrid IDS integration combining signature-based and anomaly-based detection Edge deployment compatibility for resource-constrained IoT devices This release (v1.1-conference) corresponds exactly to the version evaluated for the conference submission and is archived to ensure experimental reproducibility and long-term citation stability.
Fields of Study & Subjects
Network Security and Intrusion Detection
Network Packet Processing and Optimization
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 February 2026
- Language
- EN