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dc.contributor.authorQin, Lucyen_US
dc.contributor.authorLapets, Andreien_US
dc.contributor.authorJansen, Fredericken_US
dc.contributor.authorFlockhart, Peteren_US
dc.contributor.authorAlbab, Kinan Daken_US
dc.contributor.authorGlobus-Harris, Iraen_US
dc.contributor.authorRoberts, Shannonen_US
dc.contributor.authorVaria, Mayanken_US
dc.date2019-05-14
dc.date.accessioned2020-05-08T19:24:15Z
dc.date.available2020-05-08T19:24:15Z
dc.date.issued2019-08-11
dc.identifier.citationLucy Qin, Andrei Lapets, Frederick Jansen, Peter Flockhart, Kinan Dak Albab, Ira Globus-Harris, Shannon Roberts, Mayank Varia. 2019. "From Usability to Secure Computing and Back Again.." Symposium on Usable Privacy and Security (SOUPS), Volume 2019, pp. 734.
dc.identifier.urihttps://hdl.handle.net/2144/40720
dc.description.abstractSecure multi-party computation (MPC) allows multiple parties to jointly compute the output of a function while preserving the privacy of any individual party’s inputs to that function. As MPC protocols transition from research prototypes to realworld applications, the usability of MPC-enabled applications is increasingly critical to their successful deployment and widespread adoption. Our Web-MPC platform, designed with a focus on usability, has been deployed for privacy-preserving data aggregation initiatives with the City of Boston and the Greater Boston Chamber of Commerce. After building and deploying an initial version of the platform, we conducted a heuristic evaluation to identify usability improvements and implemented corresponding application enhancements. However, it is difficult to gauge the effectiveness of these changes within the context of real-world deployments using traditional web analytics tools without compromising the security guarantees of the platform. This work consists of two contributions that address this challenge: (1) the Web-MPC platform has been extended with the capability to collect web analytics using existing MPC protocols, and (2) as a test of this feature and a way to inform future work, this capability has been leveraged to conduct a usability study comparing the two versions ofWeb-MPC. While many efforts have focused on ways to enhance the usability of privacy-preserving technologies, this study serves as a model for using a privacy-preserving data-driven approach to evaluate and enhance the usability of privacy-preserving websites and applications deployed in realworld scenarios. Data collected in this study yields insights into the relationship between usability and security; these can help inform future implementations of MPC solutions.en_US
dc.format.extentp. 734en_US
dc.language.isoen_US
dc.relation.ispartofSymposium on Usable Privacy and Security (SOUPS)
dc.rightsCopyright is held by the author/owner. Permission to make digital or hardcopies of all or part of this work for personal or classroom use is grantedwithout fee. USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins.en_US
dc.titleFrom usability to secure computing and back againen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: No embargoen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Computer Scienceen_US
pubs.publication-statusPublisheden_US
dc.date.online2019-08-11
dc.identifier.mycv502335


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