Presentation 2005-05-25
Authentication Probability of Multiple Connected Chains Model for Signature Amortization
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Abstract(in English) Signature amortization schemes for multicast streams authentication is introduced as a solution to reduce the high overhead that sign-each schemes suffer from. The authentication probability is an important metric to measure the performance of signature amortization schemes since packet loss seriously affects the authentication probability for multicast application. In this paper we derive the authentication probability of MC model using 2-state Markov model to achieve longer resistance to packet loss and to reduce the overhead. Several simulation studies of the authentication probability in terms of several factors have been carried out to measure our scheme performance and to determine the effect of these factors on the authentication scheme. The number of hashes appended to a signature packet and number of packets containing the hash of a previous packet have the highest influence on the authentication probability.
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Keyword(in English) Authentication probability / 2-state Markov model / hash chain / signature amortization / multicast streaming / Internet security
Paper # IA2005-3
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Conference Information
Committee IA
Conference Date 2005/5/18(1days)
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Registration To Internet Architecture(IA)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Authentication Probability of Multiple Connected Chains Model for Signature Amortization
Sub Title (in English)
Keyword(1) Authentication probability
Keyword(2) 2-state Markov model
Keyword(3) hash chain
Keyword(4) signature amortization
Keyword(5) multicast streaming
Keyword(6) Internet security
1st Author's Name Qusai ABUEIN
1st Author's Affiliation Graduate School of Science and Engineering, Ibaraki University()
2nd Author's Name Susumu SHIBUSAWA
2nd Author's Affiliation Department of Computer and Information Sciences, Ibaraki University
Date 2005-05-25
Paper # IA2005-3
Volume (vol) vol.105
Number (no) 79
Page pp.pp.-
#Pages 6
Date of Issue