Comments on Yu et al’s Shared Data Integrity Verification Protocol

Tsu Yang Wu; Yueshan Lin; King Hang Wang; Chien Ming Chen; Jeng Shyang Pan

doi:10.1007/978-3-319-68527-4_8

Comments on Yu et al’s Shared Data Integrity Verification Protocol

Tsu Yang Wu^*
, Yueshan Lin
, King Hang Wang
, Chien Ming Chen
, Jeng Shyang Pan

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

2 Citations (Scopus)

Abstract

Recently, Yu et al. proposed a secure shared data integrity verification protocol called SDVIP 2 to ensure the integrity of outsourced file in the cloud. Unfortunately, we exploit the vulnerability of their protocol in this paper. We demonstrate an active adversary can modify the outsourced file such that the auditor is unable to detect in the auditing process. At the end of this paper, we also provide two suggestions to fix the proposed attack.

Original language	English
Title of host publication	Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications
Editors	Pavel Kromer, Vaclav Snasel, Jeng-Shyang Pan, Enrique Alba
Publisher	Springer Cham
Pages	73-78
Number of pages	6
ISBN (Electronic)	9783319685274
ISBN (Print)	9783319685267
DOIs	https://doi.org/10.1007/978-3-319-68527-4_8
Publication status	Published - 23 Sept 2017
Event	4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017 - Malaga, Spain Duration: 9 Oct 2017 → 11 Oct 2017 https://link.springer.com/conference/ecc

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	682
ISSN (Print)	2194-5357

Conference

Conference	4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017
Abbreviated title	ECC 2017
Country/Territory	Spain
City	Malaga
Period	9/10/17 → 11/10/17
Other	Conference Proceedings
Internet address	https://link.springer.com/conference/ecc

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

User-Defined Keywords

Bilinear pairings
Cloud storage security
Cryptanalysis
Data integrity verification

Access to Document

10.1007/978-3-319-68527-4_8

Cite this

Wu, T. Y., Lin, Y., Wang, K. H., Chen, C. M., & Pan, J. S. (2017). Comments on Yu et al’s Shared Data Integrity Verification Protocol. In P. Kromer, V. Snasel, J.-S. Pan, & E. Alba (Eds.), Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications (pp. 73-78). (Advances in Intelligent Systems and Computing; Vol. 682). Springer Cham. https://doi.org/10.1007/978-3-319-68527-4_8

Wu, Tsu Yang ; Lin, Yueshan ; Wang, King Hang et al. / Comments on Yu et al’s Shared Data Integrity Verification Protocol. Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. editor / Pavel Kromer ; Vaclav Snasel ; Jeng-Shyang Pan ; Enrique Alba. Springer Cham, 2017. pp. 73-78 (Advances in Intelligent Systems and Computing).

@inproceedings{94034ec78b05472da187ed4d2c659923,

title = "Comments on Yu et al{\textquoteright}s Shared Data Integrity Verification Protocol",

abstract = "Recently, Yu et al. proposed a secure shared data integrity verification protocol called SDVIP 2 to ensure the integrity of outsourced file in the cloud. Unfortunately, we exploit the vulnerability of their protocol in this paper. We demonstrate an active adversary can modify the outsourced file such that the auditor is unable to detect in the auditing process. At the end of this paper, we also provide two suggestions to fix the proposed attack.",

keywords = "Bilinear pairings, Cloud storage security, Cryptanalysis, Data integrity verification",

author = "Wu, \{Tsu Yang\} and Yueshan Lin and Wang, \{King Hang\} and Chen, \{Chien Ming\} and Pan, \{Jeng Shyang\}",

note = "The authors would thank anonymous referees for a valuable comments and suggestions. The work of Chien-Ming Chen was supported in part by the Project NSFC (National Natural Science Foundation of China) under Grant number 61402135 and in part by Shenzhen Technical Project under Grant number JCYJ20170307151750788. Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017, ECC 2017 ; Conference date: 09-10-2017 Through 11-10-2017",

year = "2017",

month = sep,

day = "23",

doi = "10.1007/978-3-319-68527-4\_8",

language = "English",

isbn = "9783319685267",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Cham",

pages = "73--78",

editor = "Pavel Kromer and Vaclav Snasel and Jeng-Shyang Pan and Enrique Alba",

booktitle = "Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications",

url = "https://link.springer.com/conference/ecc",

}

Wu, TY, Lin, Y, Wang, KH, Chen, CM & Pan, JS 2017, Comments on Yu et al’s Shared Data Integrity Verification Protocol. in P Kromer, V Snasel, J-S Pan & E Alba (eds), Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol. 682, Springer Cham, pp. 73-78, 4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017, Malaga, Spain, 9/10/17. https://doi.org/10.1007/978-3-319-68527-4_8

Comments on Yu et al’s Shared Data Integrity Verification Protocol. / Wu, Tsu Yang; Lin, Yueshan; Wang, King Hang et al.
Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. ed. / Pavel Kromer; Vaclav Snasel; Jeng-Shyang Pan; Enrique Alba. Springer Cham, 2017. p. 73-78 (Advances in Intelligent Systems and Computing; Vol. 682).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Comments on Yu et al’s Shared Data Integrity Verification Protocol

AU - Wu, Tsu Yang

AU - Lin, Yueshan

AU - Wang, King Hang

AU - Chen, Chien Ming

AU - Pan, Jeng Shyang

N1 - The authors would thank anonymous referees for a valuable comments and suggestions. The work of Chien-Ming Chen was supported in part by the Project NSFC (National Natural Science Foundation of China) under Grant number 61402135 and in part by Shenzhen Technical Project under Grant number JCYJ20170307151750788. Publisher Copyright: © 2018, Springer International Publishing AG.

PY - 2017/9/23

Y1 - 2017/9/23

N2 - Recently, Yu et al. proposed a secure shared data integrity verification protocol called SDVIP 2 to ensure the integrity of outsourced file in the cloud. Unfortunately, we exploit the vulnerability of their protocol in this paper. We demonstrate an active adversary can modify the outsourced file such that the auditor is unable to detect in the auditing process. At the end of this paper, we also provide two suggestions to fix the proposed attack.

AB - Recently, Yu et al. proposed a secure shared data integrity verification protocol called SDVIP 2 to ensure the integrity of outsourced file in the cloud. Unfortunately, we exploit the vulnerability of their protocol in this paper. We demonstrate an active adversary can modify the outsourced file such that the auditor is unable to detect in the auditing process. At the end of this paper, we also provide two suggestions to fix the proposed attack.

KW - Bilinear pairings

KW - Cloud storage security

KW - Cryptanalysis

KW - Data integrity verification

UR - https://www.scopus.com/pages/publications/85030869358

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DO - 10.1007/978-3-319-68527-4_8

M3 - Conference proceeding

AN - SCOPUS:85030869358

SN - 9783319685267

T3 - Advances in Intelligent Systems and Computing

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EP - 78

BT - Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications

A2 - Kromer, Pavel

A2 - Snasel, Vaclav

A2 - Pan, Jeng-Shyang

A2 - Alba, Enrique

PB - Springer Cham

T2 - 4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017

Y2 - 9 October 2017 through 11 October 2017

ER -

Comments on Yu et al’s Shared Data Integrity Verification Protocol

Abstract

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UN SDGs

User-Defined Keywords

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