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A triple-layer authentication framework with elliptic curve cryptography for securing IoT-assisted wireless sensor

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This study introduces an Elliptic Curve Cryptography and Triple-Layer Authentication Framework (ECC-TLAF) to secure Wireless Sensor Networks (WSNs). The ECC-TLAF significantly boosts energy efficiency and security while reducing latency in IoT applications.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for the Internet of Things (IoT) but suffer from security vulnerabilities like Man-in-the-Middle and insider threats.
  • Existing security solutions struggle to meet the demands of resource-constrained WSN devices, often compromising security or efficiency.
  • There is a critical need for advanced security frameworks tailored to the unique challenges of WSNs in IoT environments.

Purpose of the Study:

  • To propose and evaluate an innovative Elliptic Curve Cryptography and Triple-Layer Authentication Framework (ECC-TLAF) for enhancing WSN security.
  • To improve energy efficiency and reduce latency in WSNs through a lightweight, multi-factor authentication approach.
  • To provide a robust security solution that addresses the limitations of traditional methods in resource-constrained IoT devices.

Main Methods:

  • Development of a novel Elliptic Curve Cryptography and Triple-Layer Authentication Framework (ECC-TLAF).
  • Implementation of a lightweight authentication mechanism combining biometrics, smart cards, and passwords.
  • Comparative analysis of the ECC-TLAF against conventional frameworks in terms of security, energy efficiency, processing time, and latency.

Main Results:

  • The ECC-TLAF model demonstrated a 98.9% improvement in energy efficiency and a 95.6% increase in security.
  • Achieved a 96.7% attack detection rate, significantly outperforming traditional security protocols.
  • Reduced processing time by 1.02 seconds and latency by 0.1 milliseconds.

Conclusions:

  • The ECC-TLAF effectively enhances the security and performance of Wireless Sensor Networks within IoT ecosystems.
  • The framework provides robust protection against cyber threats while optimizing resource utilization for constrained devices.
  • This research advances WSN security protocols, enabling more secure and efficient IoT applications.