Meshram, A.A.MeshramHaas, ChristianChristianHaas2022-03-132022-03-132017https://publica.fraunhofer.de/handle/publica/39460610.1007/978-3-662-53806-7_8With the advent of 21st Century, we stepped into the fourth industrial revolution of cyber physical systems. There is the need of secured network systems and intrusion detection systems in order to detect network attacks. Use of machine learning for anomaly detection in industrial networks faces challenges which restricts its large-scale commercial deployment. ADIN Suite proposes a roadmap to overcome these challenges with multi-module solution. It solves the need for real world network traffic, an adaptive hybrid analysis to reduce error rates in diverse network traffic and alarm correlation for semantic description of detection results to the network operator.enmachine learningIndustrial Network Securityanomaly detectionconference paper