Towards Encrypting Industrial Data on Public Distributed Networks

Joseph D. Preece; John M. Easton

doi:10.1109/BigData.2018.8622246

Towards Encrypting Industrial Data on Public Distributed Networks

Joseph D. Preece, John M. Easton

School of Social Sciences

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

12 Citations (Scopus)

Abstract

This paper addresses the problem of uploading large quantities of sensitive industrial data to a public distributed network by proposing a new framework. The framework combines the existing technologies of the distributed web and distributed ledger to provide a mechanism of encrypting data and choosing whom to share the data with. The framework is designed to work with existing platforms; the InterPlanetary File System (IPFS) and the Ethereum blockchain platforms are used as examples within this paper, though it is stated that similar platforms are capable of providing the requirements for the framework to operate. The framework uses the concept of the Diffie-Hellman Key Exchange (DHKE), and is implemented in three different mechanisms of the DHKE: one-step Elliptical-Curve Diffie-Hellman Key Exchange (ECDH); two-step ECDH; and Supersingular Isogeny Diffie-Hellman Key Exchange (SIDH). The paper discusses the security of each along with individual advantages and disadvantages, and concludes that the SIDH is the most appropriate implementation for future use due to it being post-quantum secure.

Original language	English
Title of host publication	2018 IEEE International Conference on Big Data (Big Data)
Editors	Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz
Publisher	IEEE
Pages	4540-4544
Number of pages	5
ISBN (Electronic)	9781538650356, 9781538650349
ISBN (Print)	9781538650363
DOIs	https://doi.org/10.1109/BigData.2018.8622246
Publication status	Published - 24 Jan 2019
Event	2018 IEEE International Conference on Big Data - Seattle, United States Duration: 10 Dec 2018 → 13 Dec 2018

Conference

Conference	2018 IEEE International Conference on Big Data
Abbreviated title	Big Data 2018
Country/Territory	United States
City	Seattle
Period	10/12/18 → 13/12/18

Keywords

blockchain
cryptography
distribution
networks

ASJC Scopus subject areas

Computer Science Applications
Information Systems

Access to Document

10.1109/BigData.2018.8622246

Cite this

Preece, J. D., & Easton, J. M. (2019). Towards Encrypting Industrial Data on Public Distributed Networks. In N. Abe, H. Liu, C. Pu, X. Hu, N. Ahmed, M. Qiao, Y. Song, D. Kossmann, B. Liu, K. Lee, J. Tang, J. He, & J. Saltz (Eds.), 2018 IEEE International Conference on Big Data (Big Data) (pp. 4540-4544). Article 8622246 IEEE. https://doi.org/10.1109/BigData.2018.8622246

Preece, Joseph D. ; Easton, John M. / Towards Encrypting Industrial Data on Public Distributed Networks. 2018 IEEE International Conference on Big Data (Big Data). editor / Naoki Abe ; Huan Liu ; Calton Pu ; Xiaohua Hu ; Nesreen Ahmed ; Mu Qiao ; Yang Song ; Donald Kossmann ; Bing Liu ; Kisung Lee ; Jiliang Tang ; Jingrui He ; Jeffrey Saltz. IEEE, 2019. pp. 4540-4544

@inproceedings{7a7b1e197a2049d5a8efeaf19db1f01e,

title = "Towards Encrypting Industrial Data on Public Distributed Networks",

abstract = "This paper addresses the problem of uploading large quantities of sensitive industrial data to a public distributed network by proposing a new framework. The framework combines the existing technologies of the distributed web and distributed ledger to provide a mechanism of encrypting data and choosing whom to share the data with. The framework is designed to work with existing platforms; the InterPlanetary File System (IPFS) and the Ethereum blockchain platforms are used as examples within this paper, though it is stated that similar platforms are capable of providing the requirements for the framework to operate. The framework uses the concept of the Diffie-Hellman Key Exchange (DHKE), and is implemented in three different mechanisms of the DHKE: one-step Elliptical-Curve Diffie-Hellman Key Exchange (ECDH); two-step ECDH; and Supersingular Isogeny Diffie-Hellman Key Exchange (SIDH). The paper discusses the security of each along with individual advantages and disadvantages, and concludes that the SIDH is the most appropriate implementation for future use due to it being post-quantum secure.",

keywords = "blockchain, cryptography, distribution, networks",

author = "Preece, \{Joseph D.\} and Easton, \{John M.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Big Data, Big Data 2018 ; Conference date: 10-12-2018 Through 13-12-2018",

year = "2019",

month = jan,

day = "24",

doi = "10.1109/BigData.2018.8622246",

language = "English",

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Preece, JD & Easton, JM 2019, Towards Encrypting Industrial Data on Public Distributed Networks. in N Abe, H Liu, C Pu, X Hu, N Ahmed, M Qiao, Y Song, D Kossmann, B Liu, K Lee, J Tang, J He & J Saltz (eds), 2018 IEEE International Conference on Big Data (Big Data)., 8622246, IEEE, pp. 4540-4544, 2018 IEEE International Conference on Big Data, Seattle, Washington, United States, 10/12/18. https://doi.org/10.1109/BigData.2018.8622246

Towards Encrypting Industrial Data on Public Distributed Networks. / Preece, Joseph D.; Easton, John M.
2018 IEEE International Conference on Big Data (Big Data). ed. / Naoki Abe; Huan Liu; Calton Pu; Xiaohua Hu; Nesreen Ahmed; Mu Qiao; Yang Song; Donald Kossmann; Bing Liu; Kisung Lee; Jiliang Tang; Jingrui He; Jeffrey Saltz. IEEE, 2019. p. 4540-4544 8622246.

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

TY - GEN

T1 - Towards Encrypting Industrial Data on Public Distributed Networks

AU - Preece, Joseph D.

AU - Easton, John M.

PY - 2019/1/24

Y1 - 2019/1/24

N2 - This paper addresses the problem of uploading large quantities of sensitive industrial data to a public distributed network by proposing a new framework. The framework combines the existing technologies of the distributed web and distributed ledger to provide a mechanism of encrypting data and choosing whom to share the data with. The framework is designed to work with existing platforms; the InterPlanetary File System (IPFS) and the Ethereum blockchain platforms are used as examples within this paper, though it is stated that similar platforms are capable of providing the requirements for the framework to operate. The framework uses the concept of the Diffie-Hellman Key Exchange (DHKE), and is implemented in three different mechanisms of the DHKE: one-step Elliptical-Curve Diffie-Hellman Key Exchange (ECDH); two-step ECDH; and Supersingular Isogeny Diffie-Hellman Key Exchange (SIDH). The paper discusses the security of each along with individual advantages and disadvantages, and concludes that the SIDH is the most appropriate implementation for future use due to it being post-quantum secure.

AB - This paper addresses the problem of uploading large quantities of sensitive industrial data to a public distributed network by proposing a new framework. The framework combines the existing technologies of the distributed web and distributed ledger to provide a mechanism of encrypting data and choosing whom to share the data with. The framework is designed to work with existing platforms; the InterPlanetary File System (IPFS) and the Ethereum blockchain platforms are used as examples within this paper, though it is stated that similar platforms are capable of providing the requirements for the framework to operate. The framework uses the concept of the Diffie-Hellman Key Exchange (DHKE), and is implemented in three different mechanisms of the DHKE: one-step Elliptical-Curve Diffie-Hellman Key Exchange (ECDH); two-step ECDH; and Supersingular Isogeny Diffie-Hellman Key Exchange (SIDH). The paper discusses the security of each along with individual advantages and disadvantages, and concludes that the SIDH is the most appropriate implementation for future use due to it being post-quantum secure.

KW - blockchain

KW - cryptography

KW - distribution

KW - networks

UR - https://www.scopus.com/pages/publications/85062606312

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DO - 10.1109/BigData.2018.8622246

M3 - Conference contribution

AN - SCOPUS:85062606312

SN - 9781538650363

SP - 4540

EP - 4544

BT - 2018 IEEE International Conference on Big Data (Big Data)

A2 - Abe, Naoki

A2 - Liu, Huan

A2 - Pu, Calton

A2 - Hu, Xiaohua

A2 - Ahmed, Nesreen

A2 - Qiao, Mu

A2 - Song, Yang

A2 - Kossmann, Donald

A2 - Liu, Bing

A2 - Lee, Kisung

A2 - Tang, Jiliang

A2 - He, Jingrui

A2 - Saltz, Jeffrey

PB - IEEE

T2 - 2018 IEEE International Conference on Big Data

Y2 - 10 December 2018 through 13 December 2018

ER -

Towards Encrypting Industrial Data on Public Distributed Networks

Abstract

Conference

Keywords

ASJC Scopus subject areas

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