Research workstations, controlled test devices, collection tools and reproducible workflows. Tell us what your study needs—we’ll help scope the resources to support it.
Multicore research workstations support data preparation, feature extraction, simulation and classical machine learning, with GPU acceleration for lightweight inference and small-model experiments.
Access to shared departmental workstations can be coordinated for approved projects. The facilities support database systems, machine learning, deep learning and network-security experimentation.
We develop tools for encrypted-traffic studies, including VPN traffic analysis, model evaluation and reproducibility checks. Our Android companion app coordinates PCAPdroid capture and labelled research uploads.
Explore the public collector ↗Our research combines project-generated traffic captures, third-party benchmark datasets and clearly labelled synthetic examples. Sources, preparation steps and evaluation splits stay distinguishable; access is reviewed for consent, licensing and release scope.
Controlled Android test devices, including rooted-device setups where a study requires them, support approved instrumentation and traffic-collection experiments. Device requirements and access are agreed for each project.
Bring the research question and the resources it needs. We allocate available compute, data and device support to approved work, and can arrange additional capacity where project requirements and funding support it.
Share the objective, software or device setup, expected data size, compute needs and timeline. We’ll confirm an appropriate allocation and access plan.
Shared facilities are scheduled, not exclusively allocated. Dataset sharing and additional capacity are confirmed for each approved project.