CSCRC-SCREED
Change the repository type filter
All
Repositories list
18 repositories
QUT-ZSS-2023-Simulation
PublicThe testbed simulates a small-scale smart zone substation, including the primary plant (physical process), the process bus communication (GOOSE and SV protocols), the protective relays (Intelligent electronic devices or IEDs), the station bus communication (MMS protocol), and the human-machine interface (HMI).QUT-ZSS-2023-SV
PublicThe Datasets contain a wide variety of network and physical behaviours of an IEC-61850-compliant zone substation. The datasets are compatible with actual substation network traffic, including benign GOOSE packets, benign SV packets, and MALICIOUS SV packets. The datasets consist of two versions, including raw datasets and labelled datasets.CSU-Ransomware-Data
PublicQUT-ZSS-2023-GOOSE
PublicThe Datasets contain a wide variety of network and physical behaviours of an IEC-61850-compliant zone substation. The datasets are compatible with actual substation network traffic, including benign GOOSE packets, MALICIOUS GOOSE packets, and benign SV packets. The datasets consist of two versions, including raw datasets and labelled datasets.WIFD
PublicPeekaboo
PublicPeekaboo, an automated Dynamic Binary Instrumentation (DBI) tool, to defeat the evasive techniques, then capture the malicious behavior of the malware by running each sample for up to 15 minutes and recording each Assembly (ASM) Instruction that is executed, along with the network traffic.UoA_java-vuln-commits
PublicCSU-Myths-and-Facts
PublicDoS_DDoS_MQTT_IoT
PublicDeakin-NDIDs-Dataset-
PublicECU-IoFT
PublicThe ECU-IoFT dataset provides real-world cyber-attack scenarios on UAVs within the IoFT, aimed at enhancing cybersecurity research and aiding manufacturers in creating more secure drones for educational use.ECU-IoHT
PublicThe ECU-IoHT dataset is a comprehensive resource simulating various cyberattacks in an IoHT environment, designed to help the healthcare security community develop more robust countermeasures and enhance anomaly detection methods.cscrc-screed.github.io
PublicSample
Publicpeeler
Public