HuMan: Creating Memorable Fingerprints of Mobile Users

• Main Authors: PAYAS, Gupta, TAN, Kiat Wee, RAMASUBBU, Narayanasamy, LO, David, GAO, Debin, BALAN, Rajesh Krishna
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Cell phone; End users; Mobile users; Symbian; Usage data; Usage patterns; User study; Computer Sciences; Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/1477; https://ink.library.smu.edu.sg/context/sis_research/article/2476/viewcontent/HuMan_Percom_2012_afv.pdf
• Institution: Singapore Management University

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.