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From detection to prevention: a cyber-secure AI ecosystem for mitigating milk adulteration and dairy fraud

delete2025-12-16
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PRE
AI
M
Mati Ullah Khan
L
Limin Zhen
J
Jiaqi Tian
A
A.. Farid
Z
Zhiwei Chen *
H
Hongliang Liu *
DOI：10.1016/j.tifs.2025.105503delete
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Abstract

Abstract

En 中文
• Shift from reactive detection to proactive prevention with AI and cybersecurity. • AI methods and cybersecurity frameworks ensure data integrity and fraud prevention. • Implementation challenges include data quality, scalability, and regulatory issues. • Emerging trends like deep learning and collaboration drive a secure dairy supply chain.

Journal

T
Trends in Food Science and Technology
IF:
15.4
Papers:
5.0K
Citations:
5.6W

Organization

S
Shandong University of Technology
Scholars:
1.2W
Papers: 6.7K
Citations: 8.7K
S
shandong provincial innovation center for dairy technology
Scholars:
1
Papers: 1
Citations: 0
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