Blockchain-Driven Image Encryption Process with Arithmetic Optimization Algorithm for Security in Emerging Virtual Environments Article Swipe
Manal Abdullah Alohali
,
Mohammed Aljebreen
,
Fuad Al-Mutiri
,
Mahmoud Othman
,
Abdelwahed Motwakel
,
Mohamed Ibrahim Alsaid
,
Amani A. Alneil
,
Azza Elneil Osman
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/su15065133
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/su15065133
The real world is bounded by people, hospitals, industries, buildings, businesses, vehicles, cognitive cities, and billions of devices that offer various services and interact with the world. Recent technologies, including AR, VR, XR, and the digital twin concept, provide advanced solutions to create a new virtual world. Due to the ongoing development of information communication technologies and broadcast channels, data security has become a major concern. Blockchain (BC) technology is an open, decentralized, and transparent distributed database that can be maintained by the group. BC’s major features are high credibility, decentralization, transparency, versatility, autonomy, traceability, anonymity, intelligence, reward mechanisms, and irreversibility. This study presents a blockchain-driven image encryption technique using arithmetic optimization with a fractional-order Lorenz system (BDIE-AOFOLS). The BDIE-AOFOLS technique uses the FOLS method, which integrates the Arnold map, tent map, and fractional Lorenz system. Besides this, an arithmetic optimization algorithm (AOA) was carried out for the optimum key generation process to achieve the maximum PSNR value. The design of an AOA-based optimal generation of keys for the FOLS technique determines the novelty of the current work. Moreover, the cryptographical pixel values of the images can be stored securely in the BC, guaranteeing image security. We compared the outcomes of the proposed BDIE-AOFOLS technique against benchmark color images. The comparative analysis demonstrated the improved security efficiency of the BDIE-AOFOLS technique over other approaches, with a mean square error of 0.0430 and a peak signal-to-noise ratio of 61.80 dB.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/su15065133
- https://www.mdpi.com/2071-1050/15/6/5133/pdf?version=1678949705
- OA Status
- gold
- Cited By
- 9
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4324142979
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4324142979Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/su15065133Digital Object Identifier
- Title
-
Blockchain-Driven Image Encryption Process with Arithmetic Optimization Algorithm for Security in Emerging Virtual EnvironmentsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-03-14Full publication date if available
- Authors
-
Manal Abdullah Alohali, Mohammed Aljebreen, Fuad Al-Mutiri, Mahmoud Othman, Abdelwahed Motwakel, Mohamed Ibrahim Alsaid, Amani A. Alneil, Azza Elneil OsmanList of authors in order
- Landing page
-
https://doi.org/10.3390/su15065133Publisher landing page
- PDF URL
-
https://www.mdpi.com/2071-1050/15/6/5133/pdf?version=1678949705Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2071-1050/15/6/5133/pdf?version=1678949705Direct OA link when available
- Concepts
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Computer science, Encryption, Algorithm, Key generation, Key (lock), Cryptography, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 6, 2023: 1Per-year citation counts (last 5 years)
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20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| display_name | Blockchain-Driven Image Encryption Process with Arithmetic Optimization Algorithm for Security in Emerging Virtual Environments |
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| updated_date | 2025-11-06T03:46:38.306776 |
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| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Chaos-based Image/Signal Encryption |
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