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Balancing Security and Energy Efficiency for IoT Devices Using Hybrid Cryptographic Schemes Merging Traditional and Post-Quantum Cryptography

  • Preethi*
  • , R. Sapna
  • , Raghavendra M. Devadas
  • , N. Pavithra
  • , C. M. Manasa
  • , S. Kokila
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rapid growth of the Internet of Things (IoT) requires secure communication protocols to ensure data integrity, confidentiality, and authenticity. Traditional cryptographic schemes, such as Elliptic-Curve Cryptography (ECC), are widely used due to their efficiency and strong security guarantees. However, the advent of quantum computing poses a significant threat to these classical cryptographic systems, creating an urgent need for new approaches to secure IoT environments. This research explores a hybrid cryptographic solution that integrates conventional cryptography with post-quantum cryptographic algorithms to provide enhanced security and energy efficiency. Specifically, the proposed scheme combines the NIST P-256 elliptic curve (NIST256p), recognized for its robust classical security, with RSA, a widely adopted cryptosystem offering comprehensive support for key generation and cryptographic operations. To further strengthen the hybrid scheme, the PKCS#1 OAEP padding scheme is used for securely encrypting AES symmetric keys with randomness. By blending these cryptographic techniques, the hybrid approach ensures secure communication, efficient key management, and resistance to both classical and quantum threats. This study highlights the feasibility of hybrid cryptographic systems as a transitional technology, addressing vulnerabilities in current systems while preparing for the challenges posed by quantum computing. The findings emphasize their potential to protect IoT applications in a rapidly evolving technological landscape.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages372-377
Number of pages6
ISBN (Electronic)9798331542948
DOIs
Publication statusPublished - 2025
Event2025 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2025 - Kuala Lumpur, Malaysia
Duration: 27-06-202528-06-2025

Publication series

Name2025 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2025 - Proceedings

Conference

Conference2025 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2025
Country/TerritoryMalaysia
CityKuala Lumpur
Period27-06-2528-06-25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Control and Optimization

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