Call for Papers: Workshop on Usable Security and Privacy (USEC) 2019
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 2019 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.
This year, and possibly for future USEC workshops, exceptional USEC papers will be invited to publish extended versions in a special issue of the Journal of Cybersecurity.
Topics include, but are not limited to:
- Human factors related to the deployment of the Internet of Things (IoT).
- 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.
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.
Note on CHI submissions:
For concurrent CHI submissions, please register the paper’s abstract by the paper deadline (20 Nov) .
Since the CHI notification is late in the USEC reviewing timeline, we invite authors of rejected CHI papers to submit their CHI submissions, with reviews and rebuttal appended, to USEC until December 15th. These papers will be added to the online discussion for USEC.
If no paper is submitted until 15 Dec, we consider the abstract withdrawn from USEC.
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 5 to 10 pages, excluding references and supplementary materials using the NDSS format found at: https://www.ndss-symposium.org/ndss2019/templates/
Paper length: We encourage authors to submit papers of appropriate length for the research contribution. If your research contribution only requires 5-7 pages, please only submit 5-7 pages (plus references). Shorter papers with be reviewed like any other paper and not penalized. Papers shorter than 5 pages or longer than 10 pages (excluding references) will not be considered.
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 2019 is open to submissions here: https://usec2019.l3s.uni-hannover.de/hotcrp/
Work in Progress
USEC 2019 will accept Work in Progress submissions. These submissions must be clearly marked work in progress and follow the same formatting instructions as full submissions. Work in Progress papers can be submitted with an analysis plan in case the paper is unfinished by the submission deadline. Accepted Work in Progress submissions will be included in the USEC proceedings and be citable. If they are completed by the time of the camera-ready deadline, they will be published as full papers. Otherwise they will be marked clearly as Work in Progress. In the latter case of Work in Progress papers, they can be republished with a “significant” revision. 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 prior to the workshop.
|Paper submission:||27 Nov. 2018|
|Submission of CHI submissions:||15 Dec. 2018|
|Acceptance notification:||20 Dec. 2018|
|Camera-ready||15 Jan. 2019|
|Workshop:||24 Feb. 2019 (co-located with NDSS 2019)|
Mary Frances Theofanos, NIST
Yasemin Acar, Leibniz University, Hannover
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
Andrew Adams, Meiji University
Adam Aviv, United States Naval Academy
Lujo Bauer, Carnegie Mellon University
Ingolf Becker, University College London
Zinaida Benenson, University of Erlangen-Nuremberg
Matt Bishop, University of California
Jasmine Bowers, University of Florida
Pamela Briggs, Northumbria University
Karoline Busse, Rheinische Friedrich-Wilhelms-Universität Bonn
Joe Calandrino, Federal Trade Commission
Marshini Chetty, Princeton University
Heather Crawford, Florida Institute of Technology
Tamara Denning, University of Utah
Markus Dürmuth, Ruhr-University Bochum
Sascha Fahl, Ruhr-University Bochum
Alisa Frik, Berkeley
Simson Garfinkel, US Census Bureau
Vaibhav Garg, Comcast
Jens Grossklags, Technical University of Munich
Julie Haney, NIST
Marian Harbach, Google
Ann Hobson, George Mason University
Apu Kapadia, University of Indiana, Bloomington
Patrick Gage Kelley, Google
Kat Krol, Google
Katharina Krombholz, CISPA Helmholtz-Center
Ravi Kuber, University of Maryland, Baltimore County
Ada Lerner, Wellesley College
Simon Parkin, University College London
Sarah Pearman, Carnegie Mellon University
Joel Reardon, University of Calgary
Bradley Reaves, North Carolina State University
Elissa Redmiles, University of Maryland
Angela Sasse, Ruhr-University Bochum and UCL
Kent Seamons, Brigham Young University
Divya Sharma, Google
Manya Sleeper, Google
Matthew Smith, Rheinische Friedrich-Wilhelms-Universität Bonn
Elizabeth Stobert, National Research Council Canada
Blase Ur, University of Chicago
Emanuel von Zeschwitz, Rheinische Friedrich-Wilhelms-Universität Bonn
Nicholas Weaver, ICSI Berkeley
Charles Weir, Lancaster University
Tara Whalen, Google
Yaxing Yao, Syracuse University
Daniel Zappala, Brigham Young University