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Cited 1 time in webofscience Cited 5 time in scopus
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A Rhythm-Based Authentication Scheme for Smart Media Devicesopen access

Authors
Lee, Jae DongJeong, Young-SikPark, Jong Hyuk
Issue Date
2014
Publisher
HINDAWI PUBLISHING CORP
Citation
SCIENTIFIC WORLD JOURNAL, v.2014
Indexed
SCIE
SCOPUS
Journal Title
SCIENTIFIC WORLD JOURNAL
Volume
2014
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/18872
DOI
10.1155/2014/781014
ISSN
1537-744X
Abstract
In recent years, ubiquitous computing has been rapidly emerged in our lives and extensive studies have been conducted in a variety of areas related to smart devices, such as tablets, smartphones, smart TVs, smart refrigerators, and smart media devices, as a measure for realizing the ubiquitous computing. In particular, smartphones have significantly evolved from the traditional feature phones. Increasingly higher-end smartphone models that can perform a range of functions are now available. Smart devices have become widely popular since they provide high efficiency and great convenience for not only private daily activities but also business endeavors. Rapid advancements have been achieved in smart device technologies to improve the end users' convenience. Consequently, many people increasingly rely on smart devices to store their valuable and important data. With this increasing dependence, an important aspect that must be addressed is security issues. Leaking of private information or sensitive business data due to loss or theft of smart devices could result in exorbitant damage. To mitigate these security threats, basic embedded locking features are provided in smart devices. However, these locking features are vulnerable. In this paper, an original security-locking scheme using a rhythm-based locking system (RLS) is proposed to overcome the existing security problems of smart devices. RLS is a user-authenticated system that addresses vulnerability issues in the existing locking features and provides secure confidentiality in addition to convenience.
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College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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