Real-Time Medical Systems Based on Human Biometric Steganography: a Systematic Review

Area of Science:

• Computer Science
• Information Security
• Biomedical Engineering

Background:

• Biometric technology is crucial for identity verification in real-time medical systems.
• Centralized biometric template storage poses security risks during transmission and from attacks.
• Developing alternative protection mechanisms like biometric steganography is essential.

Purpose of the Study:

• To analyze literature on biometric steganography in real-time medical systems (2013-2018).
• To identify the taxonomy, research distribution, challenges, and motivations.
• To provide recommendations for enhancing the efficient and secure use of biometric steganography in medical applications.

Main Methods:

• Systematic literature review of 41 articles from IEEE Xplore, ScienceDirect, and Web of Science.
• Articles selected using inclusion and exclusion criteria.
• Categorization of steganographic methods applied to human biometrics based on taxonomy.

Main Results:

• The majority of reviewed studies focused on data-hiding (steganography) technologies.
• Various steganographic methods applied to different human biometrics were investigated and categorized.
• Key areas of results presentation included taxonomy, testing/evaluation methods, significance, applications, and techniques.

Conclusions:

• Biometric steganography offers a promising solution for securing sensitive data in real-time medical systems.
• Addressing identified challenges in data hiding is crucial for improving system efficiency.
• Recommendations are provided to aid developers, users, and researchers in optimizing biometric steganography applications.