Leveled Design of Cryptography Algorithms Using Cybernetic Methods for Using in Telemedicine Applications.

Area of Science:

• Computer Science
• Cybernetics
• Information Security

Background:

• Rapid technological advancements necessitate secure and efficient solutions in telemedicine.
• Existing cryptography algorithms present design complexities and resource challenges for telemedicine applications.
• Privacy and security are paramount in the rapidly evolving telemedicine industry.

Purpose of the Study:

• To present a leveled model for cryptography algorithm design using a cybernetic methodology.
• To simplify the design and implementation of cryptography algorithms for telemedicine.
• To establish a bidirectional relationship between design, implementation, and support processes.

Main Methods:

• Utilized measure reduction methods to identify and eliminate redundant objectives and measures in cryptography algorithm design.
• Extracted three general classes: algorithm design/implementation measures, applications, and implementation techniques.
• Employed cybernetic methodology to create a supermodel for objective-oriented cryptography algorithm design, incorporating Q-analysis tools for evaluation.

Main Results:

• A structured, leveled model for cryptography algorithm design was successfully proposed.
• The cybernetic approach streamlined the design process, preventing unnecessary detail examination.
• Demonstrated efficiency and effectiveness of the proposed model through Q-analysis.

Conclusions:

• The proposed cybernetic model offers a systematic and efficient approach to designing cryptography algorithms for telemedicine.
• This methodology ensures that security requirements are met with optimized resource utilization.
• The model facilitates a robust and adaptable framework for future telemedicine security enhancements.