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-# Attack Analysis and Detection for the Combined Electric Vehicle Charging and Power Grid Domains - Artifact
+# Artifact for the Paper: Attack Analysis and Detection for the Combined Electric Vehicle Charging and Power Grid Domains
 This repository provides the artifacts for the paper "Attack Analysis and Detection for the Combined Electric Vehicle Charging and Power Grid Domains" which was accepted at the 19th International Conference on Availability, Reliability and Security (ARES 2024).
 In the paper, we propose an Intrusion Detection System (IDS) that combines regression-based charging load prediction with novelty detection-based anomaly identification. The proposed system considers features from both the EV charging and power grid domains, which is enabled by a novel co-simulation concept. 
 Here, we provide the corresponding source code, which was used in the evaluation of the proposed solution.