I. Introduction
Traditional anomaly detection methods are mainly based on statistical methods, markov process, model prediction, data mining, immune methods, neural network anomaly detection and anomaly detection based on feature selection [1]. In recent years, with the development of artificial intelligence technology, anomaly detection techniques have made significant progress, and anomaly detection algorithms based on immunity [2], support vector machines, and evolutionary algorithms have emerged [3]. In this paper, we propose a quantum-inspired multi-strategy based differential evolutionary algorithm applied to intrusion detection.