NDLI: Verification of a Batch of Bad Signatures by Using the Matrix-Detection Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yi-Li Huang Chu-Hsing Lin Fang-Yie Leu
Copyright Year	2011
Abstract	Batch verification is a method devised to verify multiple signatures as a whole simultaneously. In literatures, we can see that some conventional batch verification schemes cannot effectively and efficiently identity bad signatures. Small Exponent test, a popular batch verification method, has its own problems, e.g., after a test, bad signatures still exist with some escape probabilities. In this paper, we propose a batch verification approach, called Matrix-Detection Algorithm (MDA for short), with which when a batch of signatures has less than four bad signatures or odd number of bad signatures, all bad signatures can be identified. Given 1024 signatures with 4 bad signatures, the maximum escape probability pmax of the MDA is 5.3×10-5 , and max p decreases as digital signatures or bad signatures increase. Analytic results show that the MDA is more secure and efficient than the SET.
Starting Page	299
Ending Page	306
File Size	324864
Page Count	8
File Format	PDF
ISBN	9781457714580
DOI	10.1109/CCP.2011.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-21
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis RSA-type batch verification Digital Signature Indexes Batch verification Equations Checking matrix Small Exponent test Conventional batch verification scheme Escape probability Silicon DSA-type batch verification Detection algorithms Digital signatures
Content Type	Text
Resource Type	Article

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