第九届网络安全实验和测试研讨会 9th Workshop on Cyber Security Experimentation and Test

征稿已开启

已截稿

注册已开启

已截止

活动简介

The CSET workshop 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.

征稿信息

征稿范围

Topics of interest include but are not limited to:

Science of cyber security: e.g., experiences with and discussions of experimental methodologies; experiment design and conduct addressing cyber security challenges.
Measurement and metrics: e.g., what are useful or valid metrics, test cases, and benchmarks? How do we know? How does measurement interact with (or interfere with) evaluation?
Testbeds and experimental infrastructure: e.g., tools for improving speed and fidelity of testbed configuration; sensors for robust data collection with minimal testbed artifacts; support for interconnected non-IT systems such as telecommunications or industrial control.
Simulations and emulations: e.g., what makes good ones? How do they scale (up or down)?
Data sets: e.g., what makes good data sets? How do we know? How do we compare data sets? How do we collect new ones or generate derived ones? How do they hold up over time?
Ethics of cyber security research: e.g., experiences balancing stakeholder considerations; frameworks for evaluating the ethics of cyber security experiments.