CVMMJan 23, 2022

A Survey on Patients Privacy Protection with Stganography and Visual Encryption

arXiv:2201.09388v11 citations
Originality Synthesis-oriented
AI Analysis

This work provides a comprehensive overview for researchers and practitioners in healthcare data security, but it is incremental as it synthesizes existing methods rather than introducing novel solutions.

The survey reviewed thirty models of steganography and visual encryption methods to address the problem of protecting patient privacy, summarizing existing approaches without presenting new experimental results.

In this survey, thirty models for steganography and visual encryption methods have been discussed to provide patients privacy protection.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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