Clock skew based client device identification in cloud environments

Ding Jie Huang*, Kai Ting Yang, Chien Chun Ni, Wei Chung Teng, Tien Ruey Hsiang, Yuh-Jye Lee

*此作品的通信作者

研究成果: Conference contribution同行評審

15 引文 斯高帕斯(Scopus)

摘要

Along with the growth of cloud computing and mobile devices, the importance of client device identity concern over cloud environment is emerging. To provide a lightweight yet reliable method for device identification, an application layer approach based on clock skew fingerprint is proposed. The developed experimental platform adapts AJAX technology to collect the timestamps of client devices in the cloud server during connection time, then calculate the clock skews of client devices. Few methods based on linear regression and piecewise minimum algorithm are developed to optimize the precision and shorten timestamp collection process. A jump point detection scheme is also proposed to resolve the offset drifting problem, which is usually caused by switching network or temporary disconnection. Finally, two experiments are conducted to study the effectiveness of clock skew fingerprint, and the results illustrate that the false positive rate and the false negative rate, in the worst case, are both no more than 8% when the tolerance threshold is set appropriately.

原文English
主出版物標題Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
頁面526-533
頁數8
DOIs
出版狀態Published - 14 五月 2012
事件26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012 - Fukuoka, Japan
持續時間: 26 三月 201229 三月 2012

出版系列

名字Proceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN(列印)1550-445X

Conference

Conference26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
國家/地區Japan
城市Fukuoka
期間26/03/1229/03/12

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