LAPSE:2023.28200
Published Article

LAPSE:2023.28200
AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain
April 11, 2023
Abstract
Every aspect of the 21st century has undergone a revolution because of the Internet of Things (IoT) and smart computing technologies. These technologies are applied in many different ways, from monitoring the state of crops and the moisture level of the soil in real-time to using drones to help with chores such as spraying pesticides. The extensive integration of both recent IT and conventional agriculture has brought in the phase of agriculture 4.0, often known as smart agriculture. Agriculture intelligence and automation are addressed by smart agriculture. However, with the advancement of agriculture brought about by recent digital technology, information security challenges cannot be overlooked. The article begins by providing an overview of the development of agriculture 4.0 with pros and cons. This study focused on layered architectural design, identified security issues, and presented security demands and upcoming prospects. In addition to that, we propose a security architectural framework for agriculture 4.0 that combines blockchain technology, fog computing, and software-defined networking. The suggested framework combines Ethereum blockchain and software-defined networking technologies on an open-source IoT platform. It is then tested with three different cases under a DDoS attack. The results of the performance analysis show that overall, the proposed security framework has performed well.
Every aspect of the 21st century has undergone a revolution because of the Internet of Things (IoT) and smart computing technologies. These technologies are applied in many different ways, from monitoring the state of crops and the moisture level of the soil in real-time to using drones to help with chores such as spraying pesticides. The extensive integration of both recent IT and conventional agriculture has brought in the phase of agriculture 4.0, often known as smart agriculture. Agriculture intelligence and automation are addressed by smart agriculture. However, with the advancement of agriculture brought about by recent digital technology, information security challenges cannot be overlooked. The article begins by providing an overview of the development of agriculture 4.0 with pros and cons. This study focused on layered architectural design, identified security issues, and presented security demands and upcoming prospects. In addition to that, we propose a security architectural framework for agriculture 4.0 that combines blockchain technology, fog computing, and software-defined networking. The suggested framework combines Ethereum blockchain and software-defined networking technologies on an open-source IoT platform. It is then tested with three different cases under a DDoS attack. The results of the performance analysis show that overall, the proposed security framework has performed well.
Record ID
Keywords
blockchain, cyber security, fog computing, IoT, precision farming, SDN
Suggested Citation
Padhy S, Alowaidi M, Dash S, Alshehri M, Malla PP, Routray S, Alhumyani H. AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain. (2023). LAPSE:2023.28200
Author Affiliations
Padhy S: School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore 466114, Madhya Pradesh, India
Alowaidi M: Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia [ORCID]
Dash S: Department of Computer Science and Engineering, GIET University, Gunupur 765022, Odisha, India [ORCID]
Alshehri M: Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia [ORCID]
Malla PP: School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, India [ORCID]
Routray S: Department of Computer Science and Engineering, School of Engineering, Indrashil University, Rajpur, Mehsana 382740, Gujarat, India [ORCID]
Alhumyani H: Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia
Alowaidi M: Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia [ORCID]
Dash S: Department of Computer Science and Engineering, GIET University, Gunupur 765022, Odisha, India [ORCID]
Alshehri M: Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia [ORCID]
Malla PP: School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, India [ORCID]
Routray S: Department of Computer Science and Engineering, School of Engineering, Indrashil University, Rajpur, Mehsana 382740, Gujarat, India [ORCID]
Alhumyani H: Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia
Journal Name
Processes
Volume
11
Issue
3
First Page
757
Year
2023
Publication Date
2023-03-03
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11030757, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.28200
This Record
External Link

https://doi.org/10.3390/pr11030757
Publisher Version
Download
Meta
Record Statistics
Record Views
330
Version History
[v1] (Original Submission)
Apr 11, 2023
Verified by curator on
Apr 11, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.28200
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.08 seconds)
[0.09 s]
