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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/117516...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
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Backward Channel Protection Method for RFID Security Schemes Based on Tree-Walking Algorithms

Authors: Wonjoon Choi; Byeong-Hee Roh;

Backward Channel Protection Method for RFID Security Schemes Based on Tree-Walking Algorithms

Abstract

Most RFID (Radio Fequency IDentification) Tag security schemes assumed that the backward channel from tags to a reader is safe from eavesdropping. However, eavesdroppers near a tag can overhear message from the tag illegally. This may cause some privacy issues because the backward channel eavesdropping means the expose of personal information related to the tags that each person has. In this paper, we propose a method to protect the backward channel from eavesdropping by illegal readers. The proposed scheme can overcome the problems of conventional schemes based on tree-walking algorithm. It is shown that the proposed method can provide the probability of eavesdropping in some standardized RFID tag system such as EPCglobal, ISO, uCode near to '0'.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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