[The Call for Papers is closed. See the final USEC agenda here.]

Ensuring effective security and privacy in real-world technology requires considering technical as well as human aspects. Enabling people to manage privacy and security necessitates giving due consideration to the users and the larger operating context within which technology is embedded. Ensuring effective security and privacy in real-world technology requires considering technical as well as human aspects. Enabling people to manage privacy and security necessitates giving due consideration to the users and the larger operating context within which technology is embedded.

We invite submissions on all aspects of human factors including adoption and usability in the context of security and privacy. USEC 2018 aims to bring together researchers already engaged in this interdisciplinary effort with other computer science researchers in areas such as visualization, artificial intelligence, machine learning, and theoretical computer science as well as researchers from other domains such as economics and psychology. We particularly encourage collaborative research from authors in multiple disciplines.

Topics include, but are not limited to:

  • Usable security/privacy evaluation of existing and/or proposed solutions.
  • Mental models that contribute to, or complicate, security and privacy.
  • Lessons learned from designing, deploying, managing, or evaluating security and privacy technologies.
  • Foundations of usable security and privacy incl. usable security and privacy patterns.
  • Ethical, psychological, sociological and economic aspects of security and privacy technologies.
  • Usable security and privacy research that targets information professionals (e.g. administrators or developers).
  • Reports on replications of previously published studies and experiments.
  • Reports on failed usable security studies or experiments, with the focus on the lessons learned from such experience.
  • Human factors related to the deployment of the Internet of Things (IoT).

It is the aim of USEC to contribute to an increase of the scientific quality of research in human factors in security and privacy. To this end, we encourage replication studies to validate previous research findings. Papers in these categories should be clearly marked as such and will not be judged against regular submissions on novelty. Rather, they will be judged based on scientific quality and value to the community. We also encourage reports of failed experiments, since their publication will serve to highlight the lessons learned and prevent others falling into the same traps.

Submission Instructions

All submissions must be original work; authors must clearly document any overlap with previously published or simultaneously submitted papers from any of the authors. We are looking for submissions of up to 10 pages, excluding references and supplementary materials using the NDSS format found at: /ndss2018/ndss-2018-templates/.

Submitting supplementary material that adds depth to the contribution and/or contributes to the submission’s replicability is strongly encouraged. Supplemental material must be linked to in the paper in an anonymous way as we cannot support direct upload to the submission system.

Reviewing will be double blind.

USEC 2018 is open to submissions here:  https://easychair.org/conferences/?conf=usec2018

Work in Progress

USEC 2018 will accept Work in Progress submissions. These submissions must be clearly marked work in progress and follow the same formatting instructions as full submissions, but with a page limit of 5 pages excluding references. If accepted, authors will need to prepare a poster that will be presented at USEC 2018. Accepted Work in Progress submissions will be included in the USEC proceedings and be citable, but they will be marked clearly as Work in Progress. These publications can be republished with a “significant” revision that contains at least 25% new content. For determining the “significance” of a revision, USEC will follow ACM policies on Pre-publication Evaluation (https://www.acm.org/publications/policies/pre-publication-evaluation) and Prior Publication and Simultaneous Submissions (https://www.acm.org/publications/policies/simultaneous-submissions).


Accepted papers will be included in official proceedings published by the Internet Society after the workshop. For the workshop, a pre-print will be made available on the workshop webpage.

Important Dates (tentative)

  • Abstract submission: 15 December 2017
  • Paper submission: 19 December 2017
  • Acceptance Notification: 19 January 2018
  • Early registration: 26 January 2018
  • Camera-ready: 5 February 2018
  • Workshop: 18 February 2018 (co-located with NDSS 2018)

USEC 2018 Program Co-Chairs

Yasemin Acar, Leibniz University, Hannover
Sameer Patil, Indiana University Bloomington

USEC Steering Committee

Andrew A. Adams, Meiji University
Jim Blythe, University of Southern California
Jean Camp, Indiana University
Angela Sasse, University College London
Matthew Smith, Bonn University

USEC 2018 Program Committee

Andrew Adams, Meiji University
Adam Aviv, United States Naval Academy
Adam Bates, University of Illinois at Urbana-Champaign
Zinaida Benenson, University of Erlangen-Nuremberg
Matt Bishop, University of California, Davis
Joseph Bonneau, New York University
Pamela Briggs, Northumbria University
Marshini Chetty, Princeton University
Heather Crawford, Florida Institute of Technology
Sascha Fahl, Leibniz University Hannover
Simson Garfinkel, US Census Bureau
Vaibhav Garg, Comcast
Jens Grossklags, Technical University of Munich
Julie Haney, University of Maryland, Baltimore County
Apu Kapadia, Indiana University Bloomington
Patrick Kelley, Google
Katharina Krombholz, SBA Research
Janne Lindqvist, Rutgers University
Heather Lipford, University of North Carolina, Charlotte
Luigi Lo Iacono, Technische Hochschule Köln
Bradley Reaves, North Carolina State University
Scott Ruoti, MIT Lincoln Laboratory
Angela Sasse, University College, London
Florian Schaub, University of Michigan
Divya Sharma, Google
Mary Theofanos, NIST
Blase Ur, University of Chicago
Melanie Volkamer, Karlstad University
Rick Wash, Michigan State University
Charles Weir, Lancaster University
Tara Whalen, Google
Pamela Wisniewski, University of Central Florida
Mary Ellen Zurko, MIT Lincoln Laboratory