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#STAST2021

Proceedings

LNCS


Call for Papers

This call for papers is available in PDF and in TXT.

Type of contributions

All papers must be original contributions and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

  • Full Papers discussing original research, answering well-defined research questions, and presenting full and stable results;
  • Position Papers discussing existing challenges and introducing and motivating new research problems;
  • Work in Progress describing original but unfinished research, which is nevertheless based on solid research questions or hypothesis soundly argued be innovative compared with the state of the art.

We welcome qualitative and quantitative research approaches from academia and industry.
We welcome meta-analytic as well as replication studies and consider them as original research eligible for full papers.
We welcome negative or null results with sound methodology.

As in previous years, accepted papers will be published as post-proceedings in Springer's Lecture Notes in Computer Science series.

Workshop Topics

Contributions should focus on the interplay of technical, organizational and human factors in achieving or breaking security, privacy, and trust. For example:

  • Usability and user experience
  • Models of user behaviour and user interactions with technology
  • Perceptions of related risk, as well as their influence on humans
  • Social engineering, persuasion, and other deception techniques
  • Requirements for socio-technical systems
  • Decision making in/for socio-technical systems
  • Feasibility of policies from the socio-technical perspective
  • Social factors in organizations' policies and processes
  • Interplay of law, ethics and politics with security and privacy measures
  • Balance between technical measures and social strategies
  • Threat models that combine technical and human-centered strategies
  • Socio-technical analysis of incidents and vulnerabilities
  • Studies of real-world vulnerabilities/incidents from a socio-technical perspective
  • Lessons from design and deployment of mechanisms and policies
  • Strategies and guidelines for analysis of intelligence and data from a socio-technical perspective
  • Methodologies and methodological reflections in pursuit of these goals