Security analysis and provision of authentication protocol, based on peer-to-peer structure in IOT platform

Area of Science:

• Computer Science
• Cybersecurity
• Network Engineering

Background:

• Internet of Things (IoT) security is paramount, with challenges in data confidentiality, authenticity, and privacy.
• Elliptic curve encryption offers robust security but faces limitations in response time, authentication delay, and memory consumption.
• Two-factor authentication (2FA) provides enhanced security over single-factor authentication (SFA) by requiring two distinct verification factors.

Purpose of the Study:

• To present two novel two-factor authentication (2FA) methods for Internet of Things (IoT) environments.
• To improve the security, efficiency, and privacy of IoT communications.
• To address the limitations of existing authentication protocols, particularly response time and memory usage.

Main Methods:

• Developed two new 2FA methods incorporating encryption, scramble architecture, and chord architecture.
• Enabled bidirectional initiation of the authentication process between communicating parties.
• Evaluated the methods using three scenarios and measured reaction time, memory usage, and connection latency.

Main Results:

• The proposed methods demonstrate reduced computing complexity, reaction time, and communication latency.
• An average reaction time of 0.016 seconds was achieved.
• Average memory usage was recorded at 30,360 KB, with an average connection latency of 0.042 seconds.
• Increasing finger table lengths in the chord structure to 10, 15, and 20 improved average reaction time to 0.012 seconds.

Conclusions:

• The novel 2FA methods offer significant improvements in performance and security for IoT applications.
• The techniques effectively reduce computational overhead and latency, enhancing user experience and system efficiency.
• The proposed approach provides a viable solution for secure and efficient authentication in the evolving landscape of IoT technology.