CSET 2016 - 9th Workshop on Cyber Security Experimentation and Test

CSET '16 invites submissions on cyber security evaluation, experimentation, measurement, metrics, data, simulations, and testbeds.
The science of cyber security poses significant challenges. For example, experiments must recreate relevant, realistic features in order to be meaningful, yet identifying those features and modeling them is very difficult. Repeatability and measurement accuracy are essential in any scientific experiment, yet hard to achieve in practice. Few security-relevant datasets are publicly available for research use and little is understood about what "good datasets" look like. Finally, cyber security experiments carry significant risks if not properly contained and controlled, yet often require some degree of interaction with the larger world in order to be useful.
Meeting these challenges requires transformational advances, including understanding the relationship between scientific method and cyber security evaluation, advancing capabilities of underlying experimental infrastructure, and improving data usability.