Submissions
Submission Preparation Checklist
All submissions must meet the following requirements.
- The manuscript is within this journal's stated narrow aims and scope and makes a clear, original computing contribution.
- The work is not published elsewhere and is not under simultaneous consideration by another journal.
- The abstract, keywords, methods, results, limitations, conclusions, tables, figures, and references are complete and internally consistent.
- Claims are supported by appropriate baselines, experiments, formal analysis, statistical analysis, or rigorous qualitative evidence as relevant.
- References have been checked for accuracy and traceability, and citations are used for scholarly relevance rather than citation manipulation.
- Data, code, models, configurations, prompts, or protocols required to assess reproducibility are provided when legally and ethically possible, or restrictions are explained.
- All authors meet authorship criteria and have approved the submission. Funding and competing interests are disclosed.
- Human-subject, personal-data, security, or sensitive-data research includes appropriate ethical safeguards, consent, approvals, or responsible disclosure where applicable.
- Any material use of generative AI is transparently disclosed. AI tools are not listed as authors and have not been used to fabricate citations, data, results, or reviewer content.
- Permission has been obtained for copyrighted third-party figures, datasets, or other materials not covered by permitted quotation or licensing.
Articles
Original research articles within the defined aims and scope of Journal of Usable Security and Human Factors. Submissions must present a clear research question or formal claim, identifiable novelty, rigorous methodology, transparent evidence, and conclusions supported by reproducible analysis. Local implementations without generalizable computing contribution may be desk rejected.Copyright Notice
Authors retain copyright and grant the journal the right of first publication. Articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), unless a different status is explicitly stated for third-party material.
Privacy Statement
Names, affiliations, email addresses, reviewer records, and submission metadata entered in this journal system are used only for legitimate scholarly publishing, editorial, indexing, preservation, integrity, and communication purposes. Personal information is not made available for unrelated commercial use. Public article metadata may be distributed to indexing, DOI, preservation, and discovery services as required for scholarly communication.