Towards encrypting industrial data on public distributed networks

Joseph Preece; John Easton

doi:10.1109/BigData.2018.8622246

Towards encrypting industrial data on public distributed networks

Joseph Preece, John Easton

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

4 Citations (Scopus)

285 Downloads (Pure)

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)
Publisher	IEEE Press / Wiley
Pages	4540-4544
Number of pages	5
ISBN (Electronic)	978-1-5386-5035-6, 978-1-5386-5034-9 (USB)
ISBN (Print)	978-1-5386-5036-3 (PoD)
DOIs	https://doi.org/10.1109/BigData.2018.8622246
Publication status	Published - 24 Jan 2019
Event	2018 IEEE International Conference on Big Data (Big Data) - Westin Hotel, Seattle, United States Duration: 10 Dec 2018 → 13 Dec 2018

Conference

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

Keywords

Distributed databases
Image color analysis
Servers
Peer-to-peer computing
Public key
Distributed ledger

Access to Document

10.1109/BigData.2018.8622246Licence: None: All rights reserved

Preece_&_Easton_Towards_encrypting_industrial_data_2018_IEEE_Big_Data
Checked for eligibility 20/12/2018 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. D. Preece and J. M. Easton, "Towards Encrypting Industrial Data on Public Distributed Networks," 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 4540-4544. doi: 10.1109/BigData.2018.8622246
Accepted author manuscript, 230 KBLicence: Other (please specify with Rights Statement)

Towards Encrypting Industrial Data on Public Distributed Networks
Joseph Preece (Presenter)
10 Dec 2018 → 13 Dec 2018
Activity: Academic and Industrial events › Conference, workshop or symposium

Cite this

@inproceedings{5206a7f3166f48529cc8aefe2bf03e30,

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 = "Distributed databases, Image color analysis, Servers, Peer-to-peer computing, Public key, Distributed ledger",

author = "Joseph Preece and John Easton",

year = "2019",

month = jan,

day = "24",

doi = "10.1109/BigData.2018.8622246",

language = "English",

isbn = "978-1-5386-5036-3 (PoD)",

pages = "4540--4544",

booktitle = "2018 IEEE International Conference on Big Data (Big Data)",

publisher = "IEEE Press / Wiley",

note = "2018 IEEE International Conference on Big Data (Big Data), BigData 2018 ; Conference date: 10-12-2018 Through 13-12-2018",

}

TY - GEN

T1 - Towards encrypting industrial data on public distributed networks

AU - Preece, Joseph

AU - Easton, John

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 - Distributed databases

KW - Image color analysis

KW - Servers

KW - Peer-to-peer computing

KW - Public key

KW - Distributed ledger

UR - http://www.scopus.com/inward/record.url?scp=85062606312&partnerID=8YFLogxK

U2 - 10.1109/BigData.2018.8622246

DO - 10.1109/BigData.2018.8622246

M3 - Conference contribution

SN - 978-1-5386-5036-3 (PoD)

SP - 4540

EP - 4544

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

PB - IEEE Press / Wiley

T2 - 2018 IEEE International Conference on Big Data (Big Data)

Y2 - 10 December 2018 through 13 December 2018

ER -

Towards encrypting industrial data on public distributed networks

Abstract

Conference

Keywords

Access to Document

Fingerprint

Activities

Towards Encrypting Industrial Data on Public Distributed Networks

Cite this