An improvement of Park-Chung-Cho's stream authentication scheme by using information dispersal algorithm

Seok Lae Lee, Yongsu Park, Joo Seok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an efficient stream authentication scheme that improves the verification probability of Park-Chung-Cho's scheme [1] by using Rabin's Information Dispersal Algorithm. It is shown that under the same communication overhead the verification probability of the proposed scheme is higher than those of SAIDA as well as Park-Chung-Cho's scheme, and that the execution time of the proposed scheme is smaller than that of SAIDA.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
PublisherSpringer Verlag
Pages1045-1053
Number of pages9
EditionPART 1
ISBN (Print)9783540723820
DOIs
Publication statusPublished - 2007
Event4th International Symposium on Neural Networks, ISNN 2007 - Nanjing, China
Duration: 2007 Jun 32007 Jun 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4491 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Symposium on Neural Networks, ISNN 2007
CountryChina
CityNanjing
Period07/6/307/6/7

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Lee, S. L., Park, Y., & Song, J. S. (2007). An improvement of Park-Chung-Cho's stream authentication scheme by using information dispersal algorithm. In Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings (PART 1 ed., pp. 1045-1053). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4491 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_122