Conference Proceeding Article
In this paper, we present a new way of generating behavioral (not biometric) fingerprints from the cellphone usage data. In particular, we explore if the generated behavioral fingerprints are memorable enough to be remembered by end users. We built a system, called HuMan, that generates fingerprints from cellphone data. To test HuMan, we conducted an extensive user study that involved collecting about one month of continuous usage data (including calls, SMSes, application usage patterns etc.) from 44 Symbian and Android smartphone users. We evaluated the memorable fingerprints generated from this rich multi-context data by asking each user to answer various authentication questions generated from the fingerprints. Results show that the fingerprints generated by HuMan are remembered by the user to some extent and were moderately secure against attacks even by family members and close friends.
Cell phone, End users, Mobile users, Symbian, Usage data, Usage patterns, User study
Computer Sciences | Information Security | Software Engineering
Software and Cyber-Physical Systems; Cybersecurity
2012 IEEE International Conference on Pervasive Computing and Communications Workshops, Lugano, Switzerland, 19-23 March 2012: Proceedings
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PAYAS, Gupta; TAN, Kiat Wee; RAMASUBBU, Narayanasamy; LO, David; GAO, Debin; and BALAN, Rajesh Krishna.
HuMan: Creating Memorable Fingerprints of Mobile Users. (2012). 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, Lugano, Switzerland, 19-23 March 2012: Proceedings. 479-482. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1477
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