{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/perils-of-zero-interaction-security-in-the","title":"Perils of Zero-Interaction Security in the Internet of Things","arxiv_id":"1901.07255","date":"2019-01-22","proceeding":null,"authors":["Mikhail Fomichev","Max Maass","Lars Almon","Alejandro Molina","Matthias Hollick"],"abstract":"The Internet of Things (IoT) demands authentication systems which can provide\nboth security and usability. Recent research utilizes the rich sensing\ncapabilities of smart devices to build security schemes operating without human\ninteraction, such as zero-interaction pairing (ZIP) and zero-interaction\nauthentication (ZIA). Prior work proposed a number of ZIP and ZIA schemes and\nreported promising results. However, those schemes were often evaluated under\nconditions which do not reflect realistic IoT scenarios. In addition, drawing\nany comparison among the existing schemes is impossible due to the lack of a\ncommon public dataset and unavailability of scheme implementations.\n  In this paper, we address these challenges by conducting the first\nlarge-scale comparative study of ZIP and ZIA schemes, carried out under\nrealistic conditions. We collect and release the most comprehensive dataset in\nthe domain to date, containing over 4250 hours of audio recordings and 1\nbillion sensor readings from three different scenarios, and evaluate five\nstate-of-the-art schemes based on these data. Our study reveals that the\neffectiveness of the existing proposals is highly dependent on the scenario\nthey are used in. In particular, we show that these schemes are subject to\nerror rates between 0.6% and 52.8%.","url_abs":"http://arxiv.org/abs/1901.07255v2","url_pdf":"http://arxiv.org/pdf/1901.07255v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"perils-of-zero-interaction-security-in-the","repo_url":"https://github.com/seemoo-lab/ubicomp19_zero_interaction_security","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"dataset-of-context-information-for-zero","name":"Dataset of Context information for Zero Interaction Security","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}