Application of IoT Authentication Key Management Algorithm to Personnel Information Management

Area of Science:

• Computer Science
• Network Security
• Cryptography

Background:

• Existing Z-Wave protocols have security deficiencies.
• Current polynomial-based key predistribution schemes face limitations in key sharing and network connectivity.
• Enterprise information systems require robust networking and data sharing capabilities.

Purpose of the Study:

• To develop a new IoT authentication protocol addressing Z-Wave security flaws.
• To propose a novel quadratic-based key management scheme for wireless sensor networks.
• To validate an enterprise information system built on a SaaS platform.

Main Methods:

• Developed a Diameter-based IoT authentication protocol with optimized algorithms, elliptic curve cryptography for key agreement, and AES/RC4 for symmetric encryption.
• Introduced a multivariate asymmetric quadratic polynomial for key generation and node authentication in wireless sensor networks.
• Conducted functional and document testing on a SaaS-based enterprise information system.

Main Results:

• The new IoT protocol enhances security and system performance, reducing response time and energy consumption.
• The quadratic-based key management scheme demonstrates significant improvements in anti-capture, connectivity, scalability, and reduced overhead compared to existing methods.
• The enterprise information system met design requirements, achieving networked management, information sharing, and stable performance with a user-friendly interface.

Conclusions:

• The proposed IoT authentication and wireless sensor key management protocols offer superior security and efficiency.
• The SaaS-based enterprise system successfully integrates and streamlines information management processes.
• The research contributes advancements in secure and efficient communication for IoT and enterprise environments.