Publications of the Laboratory for Education and Research in Secure Systems Engineering (LERSSE) 5 records found  Search took 0.00 seconds. 
1. I’m too Busy to Reset my LinkedIn Password: On the Effectiveness of Password Reset Emails / Jun Ho Huh ; Hyoungshick Kim ; Swathi S.V.P. Rayala ; Rakesh B. Bobba ; et al [LERSSE-RefConfPaper-2017-002]
A common security practice used to deal with a password breach is locking user accounts and sending out an email to tell users that they need to reset their password to unlock their account. [...]
Published in J. H. Huh, H. Kim, S. S. V. Rayala, R. B. Bobba, K. Beznosov, “I’m too busy to reset my LinkedIn password: On the effectiveness of password reset emails,” to appear in Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2017, 5 pages.:
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2. I Don’t Use Apple Pay Because It’s Less Secure ...: Perception of Security and Usability in Mobile Tap-and-Pay / Jun Ho Huh ; Saurabh Verma ; Swathi Sri V Rayala ; Rakesh B. Bobba ; et al [LERSSE-RefConfPaper-2017-001]
This paper reports on why people use, not use, or have stopped using mobile tap-and-pay in stores. [...]
Published in J. H. Huh, S. Verma, S. S. V. Rayala, R. B. Bobba, K. Beznosov, H. Kim, “I Don’t Use Apple Pay Because It’s Less Secure ...: Perception of Security and Usability in Mobile Tap-and-Pay,” to appear in Proceedings of the Workshop on Usable Security (USEC), 2017, 12 pages.:
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3. Surpass: System-initiated User-replaceable Passwords / Jun Ho Huh ; Seongyeol Oh ; Hyoungshick Kim ; Konstantin Beznosov [LERSSE-RefConfPaper-2015-006]
System-generated random passwords have maximum pass- word security and are highly resistant to guessing attacks. [...]
Published in Jun Ho Huh, Seongyeol Oh, Hyoungshick Kim and Konstantin Beznosov. Surpass: System-initiated User-replaceable Passwords. In Proceedings of ACM Conference on Computer and Communications Security (CCS'15), October 2015.:
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4. A Study on the Influential Neighbors to Maximize Information Diffusion in Online Social Networks / Hyoungshick Kim ; Konstantin Beznosov ; Eiko Yoneki [LERSSE-RefConfPaper-2015-002]
The problem of spreading information is a topic of considerable recent interest, but the traditional influence maximization problem is inadequate for a typical viral marketer who cannot access the entire network topology. [...]
Published in Kim, K. Beznosov, and E. Yoneki, “A Study on the Influential Neighbors to Maximize Information Diffusion in Online Social Networks” in Computational Social Networks, February 2015, v2n3.:
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5. Finding Influential Neighbors to Maximize Information Diffusion in Twitter / Hyoungshick Kim ; Konstantin Beznosov ; Eiko Yoneki [LERSSE-RefConfPaper-2014-001]
The problem of spreading information is a topic of considerable recent interest, but the traditional influence maximization problem is inadequate for a typical viral marketer who cannot access the entire network topology. [...]
Published in Finding Influential Neighbors to Maximize Information Diffusion in Twitter, Hyoungshick Kim, Konstantin Beznosov, and Eiko Yoneki, WWW’14 Companion, April 7–11, 2014, Seoul, Korea.:
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