An information security model for an IoT-enabled smart grid in the Saudi energy sector
An information security model for an IoT-enabled smart grid in the Saudi energy sector
The evolution of an Internet of Things-enabled Smart Grid affords better automation, communication, monitoring, and control of electricity consumption. It is now essential to supply and transmit the data required, to achieve better sensing, more accurate control, wider information communication and sharing, and more rational decision-making. However, the rapid growth in connected entities, accompanied by the increased demand for electricity, has resulted in several challenges to be addressed. One of these is securing the energy information exchange proactively, before an incident occurs. It is argued that Smart Grid systems were designed without any regard for security, which is considered a serious omission, especially for data security, energy information exchange, and the privacy of both the consumers and utility companies. This research is motivated by the gap identified in the requirements and controls for maintaining cybersecurity in the bi-directional data flow within the IoT-enabled Smart Grid. The Threat Modelling identified 9 internet-based threats. This research develops and confirms a security model which includes 45 relevant security controls and 7 security requirements on 7 access points. For future work, the confirmed model will be verified and validated using formal modelling methods.
Internet of Things, IoT-enabled Smart Grid, IoT & Security, Cybersecurity, Threat Modelling, Security Model
Akkad, Abeer Siraj A
60c9e7d8-55ae-4c78-b3ba-9b014d7c5bed
Wills, G.
3a594558-6921-4e82-8098-38cd8d4e8aa0
Rezazadeh, A.
ab1aeb76-9d41-4b46-820c-cc66b631cb99
Akkad, Abeer Siraj A
60c9e7d8-55ae-4c78-b3ba-9b014d7c5bed
Wills, G.
3a594558-6921-4e82-8098-38cd8d4e8aa0
Rezazadeh, A.
ab1aeb76-9d41-4b46-820c-cc66b631cb99
Akkad, Abeer Siraj A, Wills, G. and Rezazadeh, A.
(2023)
An information security model for an IoT-enabled smart grid in the Saudi energy sector.
In 2022 Saudi Arabia Smart Grid (SASG).
IEEE.
11 pp
.
(doi:10.1109/SASG57022.2022.10200572).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The evolution of an Internet of Things-enabled Smart Grid affords better automation, communication, monitoring, and control of electricity consumption. It is now essential to supply and transmit the data required, to achieve better sensing, more accurate control, wider information communication and sharing, and more rational decision-making. However, the rapid growth in connected entities, accompanied by the increased demand for electricity, has resulted in several challenges to be addressed. One of these is securing the energy information exchange proactively, before an incident occurs. It is argued that Smart Grid systems were designed without any regard for security, which is considered a serious omission, especially for data security, energy information exchange, and the privacy of both the consumers and utility companies. This research is motivated by the gap identified in the requirements and controls for maintaining cybersecurity in the bi-directional data flow within the IoT-enabled Smart Grid. The Threat Modelling identified 9 internet-based threats. This research develops and confirms a security model which includes 45 relevant security controls and 7 security requirements on 7 access points. For future work, the confirmed model will be verified and validated using formal modelling methods.
Text
Abeer_Full_Paper_SASG2022_FINAL
- Version of Record
Restricted to Repository staff only
Request a copy
Image
publish_acceptance1
Restricted to Repository staff only
Available under License Other.
Request a copy
Image
publish_acceptance2
Restricted to Repository staff only
Available under License Other.
Request a copy
More information
e-pub ahead of print date: 10 August 2023
Venue - Dates:
The 10th Saudi Arabia Smart Grid Conference, Hilton Riyadh Hotel & Residences Riyadh, Riyadh, Saudi Arabia, 2022-12-12 - 2022-12-14
Keywords:
Internet of Things, IoT-enabled Smart Grid, IoT & Security, Cybersecurity, Threat Modelling, Security Model
Identifiers
Local EPrints ID: 474340
URI: http://eprints.soton.ac.uk/id/eprint/474340
PURE UUID: 26982c1d-66d9-4ef9-9405-e30a4c2661c8
Catalogue record
Date deposited: 20 Feb 2023 17:53
Last modified: 03 Aug 2024 01:59
Export record
Altmetrics
Contributors
Author:
Abeer Siraj A Akkad
Author:
G. Wills
Author:
A. Rezazadeh
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
