Peekaboo, 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.

The 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.

The 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.

Various DoS/DDoS attack scenarios using MQTT traffic—to help develop and test countermeasures against such attacks

A dataset that can be used to train models to detect vulnerabilities in C/C++ code.

A usage feedback dataset for national digital identity system from a survey on the use of national digital identity systems project.

The 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.

The 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.