Federated OCPP 1.6 Intrusion Detection Dataset

The recent developments in the field of the Internet of Things (IoT) bring alongside them quite a few advantages. Examples include real-time condition monitoring, remote control and operation and sometimes even remote fault remediation. Still, despite bringing invaluable benefits, IoT-enriched entities inherently suffer from security and privacy issues. This is partially due to the utilization of insecure communication protocols such as the Open Charge Point Protocol (OCPP) 1.6. OCPP 1.6 is an application-layer communication protocol used for managing electric vehicle chargers. The concept of OCPP is to enable any Charging Station Management System (CSMS) to manage any Electric Vehicle Charging Station (EVCS), regardless of the EVCS manufacturer or the CSMS developer. In the context of the DYNABIC project (funded by the European Union - Grant Agreement ID: 101070455), a set of cyberattacks were investigated and emulated against OCPP 1.6. Based on these attacks, the OCPP 1.6 Intrusion Detection Dataset was created, aiming to support the development of Artificial Intelligence (AI)-powered Intrusion Detection Systems (IDS) that use Machine Learning (ML), Deep Learning (DL) and Federated Learning (FL) techniques.