Tuning On-Air Signatures for Balancing Performance and Confidentiality
In this paper, we investigate the trade off between performance and confidentiality in signature-based air indexing schemes for wireless data broadcast. Two metrics, namely, false drop probability and false guess probability, are defined to quantify the filtering efficiency and confidentiality loss...
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sg-smu-ink.sis_research-17672014-05-21T08:04:49Z Tuning On-Air Signatures for Balancing Performance and Confidentiality ZHENG, Baihua LEE, Wang-chien LIU, Peng LEE, Dik Lun DING, Xuhua In this paper, we investigate the trade off between performance and confidentiality in signature-based air indexing schemes for wireless data broadcast. Two metrics, namely, false drop probability and false guess probability, are defined to quantify the filtering efficiency and confidentiality loss of a signature scheme. Our analysis reveals that false drop probability and false guess probability share a similar trend as the tuning parameters of a signature scheme change and it is impossible to achieve a low false drop probability and a high false guess probability simultaneously. In order to balance the performance and confidentiality, we perform an analysis to provide a guidance for parameter settings of the signature schemes to meet different system requirements. In addition, we propose the jump pointer technique and the XOR signature scheme to further improve the performance and confidentiality. A comprehensive simulation has been conducted to validate our findings. 2009-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/768 info:doi/10.1109/TKDE.2009.43 https://ink.library.smu.edu.sg/context/sis_research/article/1767/viewcontent/signature.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing |
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Databases and Information Systems Numerical Analysis and Scientific Computing ZHENG, Baihua LEE, Wang-chien LIU, Peng LEE, Dik Lun DING, Xuhua Tuning On-Air Signatures for Balancing Performance and Confidentiality |
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In this paper, we investigate the trade off between performance and confidentiality in signature-based air indexing schemes for wireless data broadcast. Two metrics, namely, false drop probability and false guess probability, are defined to quantify the filtering efficiency and confidentiality loss of a signature scheme. Our analysis reveals that false drop probability and false guess probability share a similar trend as the tuning parameters of a signature scheme change and it is impossible to achieve a low false drop probability and a high false guess probability simultaneously. In order to balance the performance and confidentiality, we perform an analysis to provide a guidance for parameter settings of the signature schemes to meet different system requirements. In addition, we propose the jump pointer technique and the XOR signature scheme to further improve the performance and confidentiality. A comprehensive simulation has been conducted to validate our findings. |
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text |
author |
ZHENG, Baihua LEE, Wang-chien LIU, Peng LEE, Dik Lun DING, Xuhua |
author_facet |
ZHENG, Baihua LEE, Wang-chien LIU, Peng LEE, Dik Lun DING, Xuhua |
author_sort |
ZHENG, Baihua |
title |
Tuning On-Air Signatures for Balancing Performance and Confidentiality |
title_short |
Tuning On-Air Signatures for Balancing Performance and Confidentiality |
title_full |
Tuning On-Air Signatures for Balancing Performance and Confidentiality |
title_fullStr |
Tuning On-Air Signatures for Balancing Performance and Confidentiality |
title_full_unstemmed |
Tuning On-Air Signatures for Balancing Performance and Confidentiality |
title_sort |
tuning on-air signatures for balancing performance and confidentiality |
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Institutional Knowledge at Singapore Management University |
publishDate |
2009 |
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https://ink.library.smu.edu.sg/sis_research/768 https://ink.library.smu.edu.sg/context/sis_research/article/1767/viewcontent/signature.pdf |
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1770570706205016064 |