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Cited 16 time in webofscience Cited 19 time in scopus
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Secure bimodal PIN-entry method using audio signals

Authors
Lee, Mun-KyuNam, HyeonjinKim, Dong Kyue
Issue Date
Feb-2016
Publisher
ELSEVIER ADVANCED TECHNOLOGY
Keywords
User authentication; Personal identification number (PIN); Usability; Shoulder surfing attack; Random guessing attack
Citation
COMPUTERS & SECURITY, v.56, pp.140 - 150
Indexed
SCIE
SCOPUS
Journal Title
COMPUTERS & SECURITY
Volume
56
Start Page
140
End Page
150
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/24007
DOI
10.1016/j.cose.2015.06.006
ISSN
0167-4048
Abstract
A Personal Identification Number (PIN) is a multiple-digit sequence widely used for user authentication. It is desirable for a PIN-entry method to be secure against two main security threats, random guessing attacks and recording attacks. Although there have been many proposals for challenge-response-based PIN-entry methods, it is well known that the only way to prevent both attacks is to physically prevent attackers from observing the challenge response pairs, which motivates the development of PIN-entry methods that use secure secondary channels such as audio signals. To provide a guideline for designing an audio based PIN-entry method, we propose a simple framework to transform a non-audio-based method into an audio-based one. We also present a new PIN-entry method that improves the performance of this simple transformation. Most audio-based methods in the literature are unimodal methods, that is, they transmit almost all required information through an audio channel because it was believed that this approach maximized the user's performance. In this paper, however, we show that a carefully designed bimodal system may be more usable than a unimodal one. We present a new PIN-entry method whose audio channel only transmits the minimal required data while most of the challenge information is transmitted through the efficient visual channel. Our user study shows that the PIN-entry time of the proposed method is shorter than those of the previous audio-based methods, while its error rate is kept as low as that of the previous methods.
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