Low power IoT device communication through hybrid AES-RSA encryption in MRA mode

Area of Science:

• Computer Science
• Cybersecurity
• Network Engineering

Background:

• Edge computing and IoT devices require robust security for data transmission.
• Existing encryption methods often prioritize speed over data integrity and confidentiality.
• Sensor network communication in edge scenarios necessitates enhanced security measures.

Purpose of the Study:

• To enhance the security and efficiency of encryption algorithms for low-energy IoT edge devices.
• To develop a novel hybrid encryption algorithm integrating improved RSA and AES.
• To ensure data integrity, confidentiality, and efficient transmission in edge environments.

Main Methods:

• Optimized the Advanced Encryption Standard (AES) algorithm with a three-threaded design and reduced rounds.
• Enhanced the Rivest–Shamir–Adleman (RSA) algorithm using a triple-prime system with reduced bit lengths.
• Developed a novel RSA-AES hybrid algorithm (MRA) for secure key exchange and data encryption.

Main Results:

• The enhanced AES algorithm demonstrated improved speed and energy efficiency.
• The enhanced RSA algorithm offered optimized computational efficiency and strengthened security.
• The MRA hybrid algorithm proved effective in securing data transmission with high efficiency and robust security analysis.

Conclusions:

• The MRA hybrid algorithm provides a reliable and practical solution for secure communication in edge environments.
• The integration of optimized RSA and AES significantly enhances data security and transmission efficiency.
• This research addresses critical security gaps in current IoT edge data communication.