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The manuscript addresses an important topic related to data security in AI-based healthcare applications. The authors provide a useful overview of cybersecurity challenges and discuss the potential of blockchain, zero-knowledge proofs (ZKP), and honeypot technologies to improve patient data protection. The proposed hybrid security framework offers an interesting direction for strengthening data integrity, privacy, and threat detection in healthcare systems.
The work contributes to the existing literature by bringing together different security approaches and presenting a conceptual model for their combined use. Although the framework requires further validation, the study provides useful insights and identifies relevant directions for future research.
The proposed hybrid framework combining blockchain, ZKP, and honeypots is interesting. However, the authors could explain more clearly how their approach differs from existing security solutions and highlight its specific contributions.
The literature review covers relevant studies, but additional information about the paper selection process, search criteria, and review methodology would improve the transparency of the research.
The mathematical security model presented in Section 3.2 provides a useful theoretical perspective. However, the authors should briefly explain how the weighting coefficients and security contribution values were selected.
Figure 2 illustrates the proposed security framework. A more detailed explanation of how blockchain, ZKP, and honeypot components interact would help readers better understand the proposed architecture.
The manuscript would benefit from a practical example or a simple case study demonstrating how the proposed framework could address a specific cybersecurity threat in a healthcare application.
The authors discuss several cybersecurity threats, including adversarial attacks and data poisoning. It would be helpful to explain more specifically how the proposed security mechanisms could mitigate these threats.
The discussion highlights the potential advantages of the hybrid security framework. However, the authors should clarify that these benefits are theoretical and require further evaluation before their effectiveness can be established..
The abstract provides a good overview of the research, but it could more clearly highlight the main contribution and proposed approach.
Some sections contain repetitive explanations of blockchain and other security technologies. Reducing repetition would improve the overall flow of the manuscript.
The figures could be improved with clearer labels and more descriptive captions to make the proposed concepts easier to understand.
The author declares that they have no competing interests.
The author declares that they did not use generative AI to come up with new ideas for their review.
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