CNN-based anomaly detection for packet payloads of industrial control system

Industrial control systems (ICSs) are more vulnerable to cyber threats owing their network connectivity. The intrusion detection system(IDS) has been deployed detect sophisticated cyber-attack but the existing IDS uses packet header information for traffic flow detection. is inefficient deformation; therefore, we propose adoption of payload in respond a variety attacks and high performance. Our proposed model detects modification flowby inspecting each sequence packets. For evaluation, cross verification conducted increase reliability statistics.