GHOST-IoT-data-set

The GHOST-IoT-data-set is a public data-set containing IoT network traffic collected with the deployment of the GHOST's capturing module in a real life smart-home installation, with multiple network interfaces and devices. During the capturing, abnormal functioning of devices has been intentionally triggered, to construct a data-set that enables the development of mechanisms that can conduct behavioral analysis against the activity in the smart-home

A Dataset for Buffering Delays Due to the Interaction Between the Nagle Algorithm and the Delayed Acknowledgement Algorithm in Cyber-Physical Systems Communication

Here, we provide the research community with a data set for the buffering delays that data packets experience at TCP sending side in the realm of Cyber-Physical Systems (CPSs). We focus on the buffering that occurs at the sender side due to the the adverse interaction between the Nagle algorithm and the delayed acknowledgement algorithm, which both were originally introduced into TCP to prevent sending out many small-sized packets over the network. The data set is collected using four real-life operating systems: Windows, Linux, FreeBSD, and QNX (a real-time operating system). In each scenario, there are three separate different (virtual) machines running various operating systems. One machine, or an end-host, acts a data source, another acts as a data sink, and a third acts a network emulator that introduces artificial propagation delays between the source and the destination. To measure buffering delay at the sender side, we record for each sent packet the two time instants: when the packet is first generated at the application layer, and when it is actually sent on the physical network. In each case, 10 different independent experiment replications/runs are executed. Here, we provide the full distribution of all delay samples represented by the cumulative distribution function (CDF). The data exhibited here gives an impression of the amount and scale of the delay occurring at sender-side in TCP. More importantly, the data can be used investigate to what degree these delays affect the performance of cyber-physical systems or other real-time applications employing TCP

A dataset of hybrid IoT/OT honeypots

For additional information regarding the dataset kindly refer to the paper "Interaction matters: a comprehensive analysis and a dataset of hybrid IoT/OT honeypots" published at Annual Computer Security Applications Conference (ACSAC) 2022. https://doi.org/10.1145/3564625.3564645 Access to the dataset is given to researchers employed by academic institutions upon contacting [email protected]

A dataset of hybrid IoT/OT honeypots

For additional information regarding the dataset kindly refer to the paper "Interaction matters: a comprehensive analysis and a dataset of hybrid IoT/OT honeypots" published at Annual Computer Security Applications Conference (ACSAC) 2022. https://doi.org/10.1145/3564625.3564645 Access to the dataset is given to researchers employed by academic institutions upon contacting [email protected]

Live deployment data of bus occupancy

Data for bus occupancy estimation is collected from a real life deployment on a bus line in a medium sized German city. The data is collected in two different days. The data set consists of data of WLAN probes, Light sensor and Ground Truth, obtained by manual passenger counting. Aggregated data is presented (no data for individual passengers)