Ecc-X: Advancing Iot Security Through Extended Elliptic Curve Cryptography

Authors

  • Jui Khamar
  • Dr. Hardiksigh Rayjada

Keywords:

IoT Security, Extended Elliptic Curve Cryptography (ECC-X), Quantum-Resilient Cryptography, Lightweight Cryptographic Frameworks.

Abstract

Introduction: The increasing deployment of Internet of Things (IoT) devices necessitates robust security mechanisms that maintain a balance between computational efficiency and cryptographic strength. Traditional cryptographic methods such as RSA and ECC provide security but face challenges related to resource constraints and emerging quantum threats.

Objectives: This paper proposes an Extended Elliptic Curve Cryptography (ECC-X) framework to enhance security in resource-constrained IoT environments while optimizing authentication, key exchange, and data integrity.

Methods: The proposed ECC-X model builds upon established ECC principles, integrating novel enhancements such as optimized scalar multiplication, improved key exchange mechanisms, and quantum-resistant features. Experimental evaluations were conducted to compare ECC-X against traditional ECC implementations in terms of throughput, power consumption, and security resilience.

Results: The experimental results demonstrate that ECC-X outperforms traditional ECC approaches, achieving higher throughput, reduced power consumption, and improved resilience against quantum threats.

Conclusions: ECC-X presents a viable solution for enhancing IoT security by offering improved efficiency and cryptographic robustness. Future research will focus on further optimizations for real-time IoT applications and potential integrations with blockchain-based security frameworks.

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Published

2026-09-14

How to Cite

Khamar, J., & Rayjada, D. H. (2026). Ecc-X: Advancing Iot Security Through Extended Elliptic Curve Cryptography. International Journal of Artificial Intelligence and Machine Learning, 6(10s), 1944–1949. Retrieved from https://mail.svedbergopen.com/index.php/ijaiml/article/view/2053