Securing AI-based healthcare systems using Blockchain Technology and applying defense in depth

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Authors: Eris Zeqo, Silvana Qose, Zoltán Rajnai, Edina Orosz
Cited by: 0
References: 25

Abstract

Blockchain technology usage in cybersecurity is essential. The pursuit of building huge electronic circuits raises the possibility of hacking even the most contemporary cryptography techniques. Cybersecurity in the healthcare industry is a significant and challenging topic because of the ethical and legal ramifications of a patient's medical data. Image secrecy is highly susceptible to several kinds of attacks. For this reason, special care must be taken regarding data protection while creating a cybersecurity model for healthcare applications. The blockchain algorithm maintains the security of the medical image by using a hash function.The study sheds light on using blockchain technology to secure health services. A blockchain system's security is paramount in preventing manipulation, ensuring privacy, eliminating double-spending, and enhancing credibility. Its distributed nature and lack of reliance on trust make the security defense of the blockchain system one of the most crucial measures.This paper provides recommendations for strengthening the healthcare system through the integration of blockchain technology with big data, IoT, AI, and machine learning. The objective is to encourage additional research and discourse on blockchain security while providing more dependable security guarantees for the implementation and progression of blockchain technology. This reaction pertains to the always changing dangers and problems that require ongoing advancements and improvements in defense systems.

Fields of Study & Subjects

Blockchain Technology Applications and Security Blockchain Technology in Education and Learning Internet of Things and AI

Publication details

Journal / source
IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI)
Pages
000257–000262
Publication date
29 January 2026
Language
EN