Sherlock: A Dataset for Process-aware Intrusion Detection Research on Power Grid Networks

Sherlock is a dataset developed for research into, among others, process-aware intrusion detection in power grid networks. It is created with the power grid co-simulator Wattson. The dataset was initially presented in the ACM CODASPY'25 paper "Sherlock: A Dataset for Process-aware Intrusion Detection Research on Power Grid Networks" and a detailed documentation is available at https://sherlock.wattson.it/.Sherlock contains 3 scenarios, namely 01_Basic, 02_Semiurban, and 03_Rural. All scenarios are of realistically-sized networks, but 01_Basic is smaller and therefore recommended for initial prototyping. 01_Basic and 02_Semiurban contain a train set without attacks, and a test set with attacks. 03_Rural only contains a test set to motivate research into transferability of results into new networks.Each scenarios contains: network captures of primarily IEC 60870-5-104 from different vantage points accurate labels for attacks, recoveries from attacks, benign events, and normal operation ground truth data device logs captures transcibed into the Intrustrial Protocol Abstraction Layer (IPAL) format for easy processing Changelog: Version v3 - fixed errors in the ipal representations in 01-Basic and 02-Semiurban Version v2 - renamed train.n402.state.gz to test.n402.state.gz in 03-RuralVersion v1 - initial dataset