DIACS: A blockchain-based model for systematic data integrity assessment and control

Abubakar Sadiq Sani; Dong Yuan; Ke Mens; Zhao Yang Dong

doi:10.1109/ISGT49243.2021.9372235

DIACS: A blockchain-based model for systematic data integrity assessment and control

Abubakar Sadiq Sani, Dong Yuan, Ke Mens, Zhao Yang Dong

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

As data integrity attacks against smart grid components such as Supervisory Control and Data Acquisition (SCADA) systems mislead system operators into making erroneous decisions, blockchain has emerged as an attractive distributed solution for enabling data integrity due to its transparent and immutability features. Recent studies have shown that a large number of interdependencies between smart grid components hinders the ability of system operators to assess and control the data integrity associated with every component in a secure and timely manner. This paper proposes a new blockchain-based model, known as DIACS, for systematic data integrity assessment and control. DIACS comprises an automated data integrity assessment and control paradigm that uses Fuzzy Cognitive Maps (FCM), and a secure broadcast communication protocol and a system operators support scheme modelled using a Hash-based Broadcast Key Derivation Function (HBKDF) and authenticated encryption to provide security against data integrity attacks, which manipulate smart grid components. We assess risks of data integrity attacks against a SCADA system and highlight aspects relevant to the assessment and control effectiveness of our model. © 2021 IEEE.

Original language	English
Title of host publication	2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781728188973
ISBN (Print)	978-1-7281-8898-0
DOIs	https://doi.org/10.1109/ISGT49243.2021.9372235
Publication status	Published - 2021
Externally published	Yes
Event	12th Conference on Innovative Smart Grid Technologies (ISGT 2021): “Technology Solutions for an Evolving Grid” - Virtual, Washington, United States Duration: 16 Feb 2021 → 18 Feb 2021 https://attend.ieee.org/isgt-na-2021/

Publication series

Name	IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT
ISSN (Print)	2167-9665
ISSN (Electronic)	2472-8152

Conference

Conference	12th Conference on Innovative Smart Grid Technologies (ISGT 2021)
Place	United States
City	Washington
Period	16/02/21 → 18/02/21
Internet address	https://attend.ieee.org/isgt-na-2021/

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

smart grid
Authenticated encryption
Data integrity assessment and control blockchain
Fuzzy cognitive maps

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10.1109/ISGT49243.2021.9372235

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Cite this

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abstract = "As data integrity attacks against smart grid components such as Supervisory Control and Data Acquisition (SCADA) systems mislead system operators into making erroneous decisions, blockchain has emerged as an attractive distributed solution for enabling data integrity due to its transparent and immutability features. Recent studies have shown that a large number of interdependencies between smart grid components hinders the ability of system operators to assess and control the data integrity associated with every component in a secure and timely manner. This paper proposes a new blockchain-based model, known as DIACS, for systematic data integrity assessment and control. DIACS comprises an automated data integrity assessment and control paradigm that uses Fuzzy Cognitive Maps (FCM), and a secure broadcast communication protocol and a system operators support scheme modelled using a Hash-based Broadcast Key Derivation Function (HBKDF) and authenticated encryption to provide security against data integrity attacks, which manipulate smart grid components. We assess risks of data integrity attacks against a SCADA system and highlight aspects relevant to the assessment and control effectiveness of our model. {\textcopyright} 2021 IEEE.",

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year = "2021",

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booktitle = "2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)",

address = "United States",

note = "12th Conference on Innovative Smart Grid Technologies (ISGT 2021) : “Technology Solutions for an Evolving Grid” ; Conference date: 16-02-2021 Through 18-02-2021",

url = "https://attend.ieee.org/isgt-na-2021/",

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Sani, AS, Yuan, D, Mens, K & Dong, ZY 2021, DIACS: A blockchain-based model for systematic data integrity assessment and control. in 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT, IEEE, 12th Conference on Innovative Smart Grid Technologies (ISGT 2021), Washington, United States, 16/02/21. https://doi.org/10.1109/ISGT49243.2021.9372235

DIACS: A blockchain-based model for systematic data integrity assessment and control. / Sani, Abubakar Sadiq; Yuan, Dong; Mens, Ke et al.
2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). IEEE, 2021. (IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - DIACS

T2 - 12th Conference on Innovative Smart Grid Technologies (ISGT 2021)

AU - Sani, Abubakar Sadiq

AU - Yuan, Dong

AU - Mens, Ke

AU - Dong, Zhao Yang

PY - 2021

Y1 - 2021

N2 - As data integrity attacks against smart grid components such as Supervisory Control and Data Acquisition (SCADA) systems mislead system operators into making erroneous decisions, blockchain has emerged as an attractive distributed solution for enabling data integrity due to its transparent and immutability features. Recent studies have shown that a large number of interdependencies between smart grid components hinders the ability of system operators to assess and control the data integrity associated with every component in a secure and timely manner. This paper proposes a new blockchain-based model, known as DIACS, for systematic data integrity assessment and control. DIACS comprises an automated data integrity assessment and control paradigm that uses Fuzzy Cognitive Maps (FCM), and a secure broadcast communication protocol and a system operators support scheme modelled using a Hash-based Broadcast Key Derivation Function (HBKDF) and authenticated encryption to provide security against data integrity attacks, which manipulate smart grid components. We assess risks of data integrity attacks against a SCADA system and highlight aspects relevant to the assessment and control effectiveness of our model. © 2021 IEEE.

AB - As data integrity attacks against smart grid components such as Supervisory Control and Data Acquisition (SCADA) systems mislead system operators into making erroneous decisions, blockchain has emerged as an attractive distributed solution for enabling data integrity due to its transparent and immutability features. Recent studies have shown that a large number of interdependencies between smart grid components hinders the ability of system operators to assess and control the data integrity associated with every component in a secure and timely manner. This paper proposes a new blockchain-based model, known as DIACS, for systematic data integrity assessment and control. DIACS comprises an automated data integrity assessment and control paradigm that uses Fuzzy Cognitive Maps (FCM), and a secure broadcast communication protocol and a system operators support scheme modelled using a Hash-based Broadcast Key Derivation Function (HBKDF) and authenticated encryption to provide security against data integrity attacks, which manipulate smart grid components. We assess risks of data integrity attacks against a SCADA system and highlight aspects relevant to the assessment and control effectiveness of our model. © 2021 IEEE.

KW - smart grid

KW - Authenticated encryption

KW - Data integrity assessment and control blockchain

KW - Fuzzy cognitive maps

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U2 - 10.1109/ISGT49243.2021.9372235

DO - 10.1109/ISGT49243.2021.9372235

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-7281-8898-0

T3 - IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT

BT - 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)

PB - IEEE

Y2 - 16 February 2021 through 18 February 2021

ER -

DIACS: A blockchain-based model for systematic data integrity assessment and control

Abstract

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Conference

UN SDGs

Research Keywords

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