Data privacy protection of industrial blockchain

Huaqiu Long; Jun Hou; Qianmu Li; Na Ma; Jian Jiang; Lianyong Qi; Xiaolong Xu; Xuyun Zhang

doi:10.1007/978-3-030-69992-5_7

Data privacy protection of industrial blockchain

Huaqiu Long^*, Jun Hou, Qianmu Li, Na Ma, Jian Jiang, Lianyong Qi, Xiaolong Xu, Xuyun Zhang

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

2 Citations (Scopus)

Abstract

This paper studies the data privacy protection of industrial block chain. Aiming at the privacy leakage problem of industrial blockchain, combining symmetric encryption and homomorphic encryption, The data privacy protection method is proposed to ensure the confidentiality and privacy of industrial block chain and improve the privacy security of industrial enterprises. This paper designs common basic chain code, security service chain code and privacy protection chain code in the chain code layer, USES AES algorithm to encrypt sensitive information of industrial enterprises, and USES Paillier algorithm to encrypt maintenance cost. The chain code of privacy protection can be used for security access and fault event audit to guarantee the privacy security of industrial enterprises. In addition, in order to achieve the unity of call chain code, the call chain code is encapsulated to provide support for fast and highly concurrent upload data and access data. Finally, the existing sensitive and private data storage methods of industrial block chain are analyzed, and the experimental comparison with the method in this paper proves the effectiveness of this method.

Original language	English
Title of host publication	Cloud Computing
Subtitle of host publication	10th EAI International Conference, CloudComp 2020, Qufu, China, December 11–12, 2020: Proceedings
Editors	Lianyong Qi, Mohammad R. Khosravi, Xiaolong Xu, Yiwen Zhang, Varun G. Menon
Place of Publication	Cham, Switzerland
Publisher	Springer, Springer Nature
Pages	83-99
Number of pages	17
ISBN (Electronic)	9783030699925
ISBN (Print)	9783030699918
DOIs	https://doi.org/10.1007/978-3-030-69992-5_7
Publication status	Published - 2021
Event	10th EAI International Conference on Cloud Computing, CloudComp 2020 - Virtual, Online Duration: 11 Dec 2020 → 12 Dec 2020

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	363
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	10th EAI International Conference on Cloud Computing, CloudComp 2020
City	Virtual, Online
Period	11/12/20 → 12/12/20

Keywords

Blockchain
Data privacy protection
Fault diagnosis

Access to Document

10.1007/978-3-030-69992-5_7

Cite this

Long, H., Hou, J., Li, Q., Ma, N., Jiang, J., Qi, L., Xu, X., & Zhang, X. (2021). Data privacy protection of industrial blockchain. In L. Qi, M. R. Khosravi, X. Xu, Y. Zhang, & V. G. Menon (Eds.), Cloud Computing: 10th EAI International Conference, CloudComp 2020, Qufu, China, December 11–12, 2020: Proceedings (pp. 83-99). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 363). Springer, Springer Nature. https://doi.org/10.1007/978-3-030-69992-5_7

Long, Huaqiu ; Hou, Jun ; Li, Qianmu et al. / Data privacy protection of industrial blockchain. Cloud Computing: 10th EAI International Conference, CloudComp 2020, Qufu, China, December 11–12, 2020: Proceedings. editor / Lianyong Qi ; Mohammad R. Khosravi ; Xiaolong Xu ; Yiwen Zhang ; Varun G. Menon. Cham, Switzerland : Springer, Springer Nature, 2021. pp. 83-99 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{a5f276ac2fc84a72b35dc008895c3082,

title = "Data privacy protection of industrial blockchain",

abstract = "This paper studies the data privacy protection of industrial block chain. Aiming at the privacy leakage problem of industrial blockchain, combining symmetric encryption and homomorphic encryption, The data privacy protection method is proposed to ensure the confidentiality and privacy of industrial block chain and improve the privacy security of industrial enterprises. This paper designs common basic chain code, security service chain code and privacy protection chain code in the chain code layer, USES AES algorithm to encrypt sensitive information of industrial enterprises, and USES Paillier algorithm to encrypt maintenance cost. The chain code of privacy protection can be used for security access and fault event audit to guarantee the privacy security of industrial enterprises. In addition, in order to achieve the unity of call chain code, the call chain code is encapsulated to provide support for fast and highly concurrent upload data and access data. Finally, the existing sensitive and private data storage methods of industrial block chain are analyzed, and the experimental comparison with the method in this paper proves the effectiveness of this method.",

keywords = "Blockchain, Data privacy protection, Fault diagnosis",

author = "Huaqiu Long and Jun Hou and Qianmu Li and Na Ma and Jian Jiang and Lianyong Qi and Xiaolong Xu and Xuyun Zhang",

year = "2021",

doi = "10.1007/978-3-030-69992-5_7",

language = "English",

isbn = "9783030699918",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer, Springer Nature",

pages = "83--99",

editor = "Lianyong Qi and Khosravi, {Mohammad R.} and Xiaolong Xu and Yiwen Zhang and Menon, {Varun G.}",

booktitle = "Cloud Computing",

address = "United States",

note = "10th EAI International Conference on Cloud Computing, CloudComp 2020 ; Conference date: 11-12-2020 Through 12-12-2020",

}

Long, H, Hou, J, Li, Q, Ma, N, Jiang, J, Qi, L, Xu, X & Zhang, X 2021, Data privacy protection of industrial blockchain. in L Qi, MR Khosravi, X Xu, Y Zhang & VG Menon (eds), Cloud Computing: 10th EAI International Conference, CloudComp 2020, Qufu, China, December 11–12, 2020: Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 363, Springer, Springer Nature, Cham, Switzerland, pp. 83-99, 10th EAI International Conference on Cloud Computing, CloudComp 2020, Virtual, Online, 11/12/20. https://doi.org/10.1007/978-3-030-69992-5_7

Data privacy protection of industrial blockchain. / Long, Huaqiu; Hou, Jun; Li, Qianmu et al.
Cloud Computing: 10th EAI International Conference, CloudComp 2020, Qufu, China, December 11–12, 2020: Proceedings. ed. / Lianyong Qi; Mohammad R. Khosravi; Xiaolong Xu; Yiwen Zhang; Varun G. Menon. Cham, Switzerland: Springer, Springer Nature, 2021. p. 83-99 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 363).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Data privacy protection of industrial blockchain

AU - Long, Huaqiu

AU - Hou, Jun

AU - Li, Qianmu

AU - Ma, Na

AU - Jiang, Jian

AU - Qi, Lianyong

AU - Xu, Xiaolong

AU - Zhang, Xuyun

PY - 2021

Y1 - 2021

N2 - This paper studies the data privacy protection of industrial block chain. Aiming at the privacy leakage problem of industrial blockchain, combining symmetric encryption and homomorphic encryption, The data privacy protection method is proposed to ensure the confidentiality and privacy of industrial block chain and improve the privacy security of industrial enterprises. This paper designs common basic chain code, security service chain code and privacy protection chain code in the chain code layer, USES AES algorithm to encrypt sensitive information of industrial enterprises, and USES Paillier algorithm to encrypt maintenance cost. The chain code of privacy protection can be used for security access and fault event audit to guarantee the privacy security of industrial enterprises. In addition, in order to achieve the unity of call chain code, the call chain code is encapsulated to provide support for fast and highly concurrent upload data and access data. Finally, the existing sensitive and private data storage methods of industrial block chain are analyzed, and the experimental comparison with the method in this paper proves the effectiveness of this method.

AB - This paper studies the data privacy protection of industrial block chain. Aiming at the privacy leakage problem of industrial blockchain, combining symmetric encryption and homomorphic encryption, The data privacy protection method is proposed to ensure the confidentiality and privacy of industrial block chain and improve the privacy security of industrial enterprises. This paper designs common basic chain code, security service chain code and privacy protection chain code in the chain code layer, USES AES algorithm to encrypt sensitive information of industrial enterprises, and USES Paillier algorithm to encrypt maintenance cost. The chain code of privacy protection can be used for security access and fault event audit to guarantee the privacy security of industrial enterprises. In addition, in order to achieve the unity of call chain code, the call chain code is encapsulated to provide support for fast and highly concurrent upload data and access data. Finally, the existing sensitive and private data storage methods of industrial block chain are analyzed, and the experimental comparison with the method in this paper proves the effectiveness of this method.

KW - Blockchain

KW - Data privacy protection

KW - Fault diagnosis

UR - http://www.scopus.com/inward/record.url?scp=85102626716&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-69992-5_7

DO - 10.1007/978-3-030-69992-5_7

M3 - Conference proceeding contribution

AN - SCOPUS:85102626716

SN - 9783030699918

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 83

EP - 99

BT - Cloud Computing

A2 - Qi, Lianyong

A2 - Khosravi, Mohammad R.

A2 - Xu, Xiaolong

A2 - Zhang, Yiwen

A2 - Menon, Varun G.

PB - Springer, Springer Nature

CY - Cham, Switzerland

T2 - 10th EAI International Conference on Cloud Computing, CloudComp 2020

Y2 - 11 December 2020 through 12 December 2020

ER -

Long H, Hou J, Li Q, Ma N, Jiang J, Qi L et al. Data privacy protection of industrial blockchain. In Qi L, Khosravi MR, Xu X, Zhang Y, Menon VG, editors, Cloud Computing: 10th EAI International Conference, CloudComp 2020, Qufu, China, December 11–12, 2020: Proceedings. Cham, Switzerland: Springer, Springer Nature. 2021. p. 83-99. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-69992-5_7

Data privacy protection of industrial blockchain

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