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<p>The Internet of Consumer Electronics (ICE) is revolutionizing modern lifestyles through smart, connected devices that collect and process sensitive user data. However, this growth raises critical privacy and security concerns. This research integrates lightweight Elliptic Curve Cryptography (ECC) and Fully Homomorphic Encryption to create a hybrid privacy-preserving framework for next-generation consumer electronics networks. The framework employs dual ECC-based authentication to validate both users and devices identities, preventing spoofing and unauthorized access. ECC ensures efficient encryption for resource-constrained IoT devices, whereas FHE secures cloud-side computation on encrypted data. Edge computing is incorporated to enhance responsiveness and reduce latency. Experimental results shows that the proposed ECC-FHE approach improves encryption speed, minimizes key size, and reduces memory usage compared to existing security schemes. The framework effectively preserves data confidentiality, integrity, and authenticity, particularly for Electronic Consumer Record Data (ECRD), making it ideal for smart home, healthcare, and personalized IoT applications. The source code implementations are publicly available at (https://github.com/sanjaykph21cs?tab=repositories).</p>

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A hybrid framework for privacy preservation in next-generation consumer electronics networks

  • 期刊论文

  • 发表日期：

    2026年2月17日

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  • Sanjay Kumar,
  • Kumar Abhishek

摘要

The Internet of Consumer Electronics (ICE) is revolutionizing modern lifestyles through smart, connected devices that collect and process sensitive user data. However, this growth raises critical privacy and security concerns. This research integrates lightweight Elliptic Curve Cryptography (ECC) and Fully Homomorphic Encryption to create a hybrid privacy-preserving framework for next-generation consumer electronics networks. The framework employs dual ECC-based authentication to validate both users and devices identities, preventing spoofing and unauthorized access. ECC ensures efficient encryption for resource-constrained IoT devices, whereas FHE secures cloud-side computation on encrypted data. Edge computing is incorporated to enhance responsiveness and reduce latency. Experimental results shows that the proposed ECC-FHE approach improves encryption speed, minimizes key size, and reduces memory usage compared to existing security schemes. The framework effectively preserves data confidentiality, integrity, and authenticity, particularly for Electronic Consumer Record Data (ECRD), making it ideal for smart home, healthcare, and personalized IoT applications. The source code implementations are publicly available at (https://github.com/sanjaykph21cs?tab=repositories).