A new unpredictability-based RFID privacy model

Ind-privacy and unp-privacy, later refined to unp∗-privacy, are two different classes of privacy models for RFID authentication protocols. These models have captured the major anonymity and untraceability related attacks regarding RFID authentication protocols with privacy, and existing work indicat...

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Main Authors: YANG, Anjia, ZHUANG, Yunhui, WONG, Duncan S., YANG, Guomin
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Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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Online Access:https://ink.library.smu.edu.sg/sis_research/7377
https://ink.library.smu.edu.sg/context/sis_research/article/8380/viewcontent/A_New_Unpredictability_Based.pdf
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spelling sg-smu-ink.sis_research-83802022-10-13T07:38:38Z A new unpredictability-based RFID privacy model YANG, Anjia ZHUANG, Yunhui WONG, Duncan S. YANG, Guomin Ind-privacy and unp-privacy, later refined to unp∗-privacy, are two different classes of privacy models for RFID authentication protocols. These models have captured the major anonymity and untraceability related attacks regarding RFID authentication protocols with privacy, and existing work indicates that unp∗-privacy seems to be a stronger notion when compared with ind-privacy. In this paper, we continue studying the RFID privacy models, and there are two folds regarding our results. First of all, we describe a new traceability attack and show that schemes proven secure in unp∗-privacy may not be secure against this new and practical type of traceability attacks. We then propose a new unpredictability-based privacy model to capture this new type of attacks. Secondly, we show that this new model, where we called it the unpτ -privacy, is stronger than both unp∗-privacy and ind-privacy. 2013-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7377 info:doi/10.1007/978-3-642-38631-2_35 https://ink.library.smu.edu.sg/context/sis_research/article/8380/viewcontent/A_New_Unpredictability_Based.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 mutual authentication protocol privacy models RFID Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic mutual authentication protocol
privacy models
RFID
Information Security
spellingShingle mutual authentication protocol
privacy models
RFID
Information Security
YANG, Anjia
ZHUANG, Yunhui
WONG, Duncan S.
YANG, Guomin
A new unpredictability-based RFID privacy model
description Ind-privacy and unp-privacy, later refined to unp∗-privacy, are two different classes of privacy models for RFID authentication protocols. These models have captured the major anonymity and untraceability related attacks regarding RFID authentication protocols with privacy, and existing work indicates that unp∗-privacy seems to be a stronger notion when compared with ind-privacy. In this paper, we continue studying the RFID privacy models, and there are two folds regarding our results. First of all, we describe a new traceability attack and show that schemes proven secure in unp∗-privacy may not be secure against this new and practical type of traceability attacks. We then propose a new unpredictability-based privacy model to capture this new type of attacks. Secondly, we show that this new model, where we called it the unpτ -privacy, is stronger than both unp∗-privacy and ind-privacy.
format text
author YANG, Anjia
ZHUANG, Yunhui
WONG, Duncan S.
YANG, Guomin
author_facet YANG, Anjia
ZHUANG, Yunhui
WONG, Duncan S.
YANG, Guomin
author_sort YANG, Anjia
title A new unpredictability-based RFID privacy model
title_short A new unpredictability-based RFID privacy model
title_full A new unpredictability-based RFID privacy model
title_fullStr A new unpredictability-based RFID privacy model
title_full_unstemmed A new unpredictability-based RFID privacy model
title_sort new unpredictability-based rfid privacy model
publisher Institutional Knowledge at Singapore Management University
publishDate 2013
url https://ink.library.smu.edu.sg/sis_research/7377
https://ink.library.smu.edu.sg/context/sis_research/article/8380/viewcontent/A_New_Unpredictability_Based.pdf
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