Visible to the public Other Projects


Visible to the public SoS Lablet Research Methods, Community Development and Support

  • Community Development - The goal is to build an extended and vibrant interdisciplinary community of science of security researchers, research methodologists, and practitioners (Carver, Williams).
  • Community Resources - To create and maintain a repository of defensible scientific methods for security research (Carver, Williams).
  • Oversight for the Application of Defensible Scientific Research Methodologies - To encourage the application of scientifically defensible research through various methods of consultation and feedback (Carver).
  • Usable Data Shari

Visible to the public SoS Lablet Evaluation

  • Contributions to Developing a Science of Security - We will design and implement an evaluation process for assessing the effectiveness and impact of the Lablet's research and community development activities (McGowen, Stallings, & Wright).
  • Contributions to Security Science Research Methodology - We will examine both the impact of Lablet work on the maturity of the SoS field and the methodological rigor of the Lablet research projects themselves (McGowen, Carver).
  • Development of a Community of Practice for the Science of Security - We will develop methods to

Visible to the public Privacy Incidents Database

The patterns and characteristics of security incidents are a significant driver of security technology innovation. Patterns are detected by analyzing repositories of malware/viruses/worms, incidents affecting control/SCADA systems, general security alerts and updates, and data breaches. For most types of privacy incidents there are no repositories. Privacy incidents that do not involve a security breach, such as cyber-bullying/slander/stalking, revenge porn, social media oversharing, data reidentification and surveillance, are not represented in the current repositories.


Visible to the public Attack Surface and Defense-in-Depth Metrics


Visible to the public Vulnerability and Resilience Prediction Models