AI-Driven Cybersecurity for Detecting Organ Trafficking Networks

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Authors: Chinmayee Vijaykumar Mali, Gitanjali R. Shinde, Grishma Bobhate, Sonal Fatangare, Prashant Dhotre, Piyush P. Gawali
Cited by: 0
References: 12

Abstract

The digitization of healthcare has improved efficiency but exposed patient data to new cyber risks exploited by organ trafficking networks. Stolen medical records hold lasting value, enabling identity fraud and falsified donor-recipient data. This chapter explores how Artificial Intelligence (AI) can strengthen cybersecurity by detecting anomalies in electronic health records and predicting insider threats. It proposes a Co-Creation Framework combining AI, blockchain, and ethical governance through collaboration among clinicians, technologists, and policymakers. Real-world cases, including Hyderabad's Jeevandan Program and Kenya's Mediheal Hospital, highlight the urgency of AI-driven, transparent, and accountable systems that protect data integrity and help prevent organ trafficking while maintaining patient trust.

Fields of Study & Subjects

Blockchain Technology Applications and Security Internet of Things and AI Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
IGI Global eBooks
Pages
135–164
Publication date
11 March 2026
Language
NG
Document type
Book chapter