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Systematic Mapping Study to Assess Security Landscape for IoT-based Smart Farming Systems

delete2025-12-03
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OA
AI
F
Farzana Zahid
X
Xiao Chen
S
Shaleeza Sohail
B
Boyang Li
M
Melanie Po‐Leen Ooi
DOI:10.1016/j.cose.2025.104790delete
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Abstract

Abstract

En 中文
• The paper identifies the current trends in key security technologies for IoT-based smart farming through a systematic mapping study. • The paper assesses the technology readiness level (TRL) of each identified key security solution and the characteristics of a security product identified by ISO/IEC 25010.
Keywords:
cybersecurity
IoT
smart farming
machine learning
systematic mapping study
technology readiness level
ISO/IEC 25010
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Computers and Security
IF:
5.4
Papers:
4.6K
Citations:
1.4W

Organization

U
University of Waikato
Scholars:
2.9K
Papers: 3.4K
Citations: 4.6K
U
University of Newcastle
Scholars:
1.5W
Papers: 1.5W
Citations: 16
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