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<p>This paper presents a novel multi-layered hybrid security approach aimed at enhancing lightweight encryption for IoT-Cloud systems. The primary goal is to overcome limitations inherent in conventional solutions such as TPA, Blockchain, ECDSA and ZSS which often fall short in terms of data protection, computational efficiency and scalability. Our proposed method strategically refines and integrates these technologies to address their shortcomings while maximizing their individual strengths. By doing so we create a more reliable and high-performance framework for secure data exchange across heterogeneous environments. The model leverages the combined potential of emerging technologies, particularly Blockchain, IoT and Cloud computing which when effectively coordinated offer significant advancements in security architecture. The proposed framework consists of three core layers: (1) the H.E.EZ Layer which integrates improved versions of Hyperledger Fabric, Enc-Block and a hybrid ECDSA-ZSS scheme to improve encryption speed, scalability and reduce computational cost; (2) the Credential Management Layer independently verifying data integrity and authenticity; and (3) the Time and Auditing Layer designed to reduce traffic overhead and optimize performance across dynamic workloads. The proposed scheme is evaluated through extensive experiments in an IoT–Cloud environment. The results demonstrate that the proposed multi-stage lightweight cryptographic framework significantly reduces computation cost, communication overhead, and execution time compared to representative existing schemes, while maintaining strong security guarantees. In particular, the framework achieves lower cryptographic processing latency and reduced data transmission overhead, making it suitable for resource-constrained IoT devices. These results confirm that the proposed approach provides an effective balance between security, efficiency, and practical deployability in large-scale IoT–Cloud systems.</p>

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Designing a layered framework to secure data via improved multi-stage lightweight cryptography in IoT–Cloud systems

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月23日

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  • Hojjat Farshadinia,
  • Ali Barati,
  • Hamid Barati

摘要

This paper presents a novel multi-layered hybrid security approach aimed at enhancing lightweight encryption for IoT-Cloud systems. The primary goal is to overcome limitations inherent in conventional solutions such as TPA, Blockchain, ECDSA and ZSS which often fall short in terms of data protection, computational efficiency and scalability. Our proposed method strategically refines and integrates these technologies to address their shortcomings while maximizing their individual strengths. By doing so we create a more reliable and high-performance framework for secure data exchange across heterogeneous environments. The model leverages the combined potential of emerging technologies, particularly Blockchain, IoT and Cloud computing which when effectively coordinated offer significant advancements in security architecture. The proposed framework consists of three core layers: (1) the H.E.EZ Layer which integrates improved versions of Hyperledger Fabric, Enc-Block and a hybrid ECDSA-ZSS scheme to improve encryption speed, scalability and reduce computational cost; (2) the Credential Management Layer independently verifying data integrity and authenticity; and (3) the Time and Auditing Layer designed to reduce traffic overhead and optimize performance across dynamic workloads. The proposed scheme is evaluated through extensive experiments in an IoT–Cloud environment. The results demonstrate that the proposed multi-stage lightweight cryptographic framework significantly reduces computation cost, communication overhead, and execution time compared to representative existing schemes, while maintaining strong security guarantees. In particular, the framework achieves lower cryptographic processing latency and reduced data transmission overhead, making it suitable for resource-constrained IoT devices. These results confirm that the proposed approach provides an effective balance between security, efficiency, and practical deployability in large-scale IoT–Cloud systems.