BIoT-Chain: a hyperledger blockchain cloud framework with SHA-3 keccak-enabled privacy for robust drone IoT network security

The robust development in the technology of Drone-enabled Internet of Things (DIoT) infrastructure has revolutionized major fields of disaster management, real-time surveillance, agricultural activities, and smart city management. However, the inherent vulnerabilities in communication channels, privacy preservation, security, and data integrity pose a critical risk in terms of a lack of security. This paper proposes BIoT-Chain, a Hyperledger Fabric-enabled Blockchain (BDLT) cloud framework integrated with Hash encryption version 3 (SHA-3), especially the association of Keccak-based privacy protocols to ensure robust, scalable security, and tamper-proof for Drone IoT networks. On the other side, the classical BDLT solution requires a high cost of transactions, whereas the proposed solution leverages the module for Hyperledger and permissioned, designed for lightweight consensus that ensures energy efficiency, along with maintaining low latency, which is suitable for drones with resource management. The successful integration of SHA-3 Keccak hashing improved the resilience of cryptography in terms of collision resistance against node-to-node transactions and preimage attacks. Thereby, it guarantees secure identity management and privacy-preserving intercommunication among drones block-to-block. The major performance evaluations that are addressed are one of the significant enhancements in this paper, achieving 98.33% of malicious traffic classification and detection accuracy, a reduction in latency down to 37%, and higher throughput up to 42% compared to other state-of-the-art BDLT methods. In addition, the proposed BIoT-Chain ensures data transability, integrity, provenance, and resilience against distributed denial of service (DDoS) and replay attacks.

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Publication Details

Journal
Journal of Cloud Computing Advances Systems and Applications
Published
2026-03-16
DOI
https://doi.org/10.1186/s13677-026-00879-5
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

BIoT-Chain: a hyperledger blockchain cloud framework with SHA-3 keccak-enabled privacy for robust drone IoT network security

Sajid Ullah, Mohamad Afendee Mohamed, Ahod Alghuried, Abdullah Ayub Khan et al.
Journal of Cloud Computing Advances Systems and Applications
UAV Applications and Optimization
article

BIoT-Chain: a hyperledger blockchain cloud framework with SHA-3 keccak-enabled privacy for robust drone IoT network security

Sajid Ullah, Mohamad Afendee Mohamed, Ahod Alghuried, Abdullah Ayub Khan, Hamad Almansour, Jamil Abedalrahim Jamil Alsayaydeh
article en

Abstract

The robust development in the technology of Drone-enabled Internet of Things (DIoT) infrastructure has revolutionized major fields of disaster management, real-time surveillance, agricultural activities, and smart city management. However, the inherent vulnerabilities in communication channels, privacy preservation, security, and data integrity pose a critical risk in terms of a lack of security. This paper proposes BIoT-Chain, a Hyperledger Fabric-enabled Blockchain (BDLT) cloud framework integrated with Hash encryption version 3 (SHA-3), especially the association of Keccak-based privacy protocols to ensure robust, scalable security, and tamper-proof for Drone IoT networks. On the other side, the classical BDLT solution requires a high cost of transactions, whereas the proposed solution leverages the module for Hyperledger and permissioned, designed for lightweight consensus that ensures energy efficiency, along with maintaining low latency, which is suitable for drones with resource management. The successful integration of SHA-3 Keccak hashing improved the resilience of cryptography in terms of collision resistance against node-to-node transactions and preimage attacks. Thereby, it guarantees secure identity management and privacy-preserving intercommunication among drones block-to-block. The major performance evaluations that are addressed are one of the significant enhancements in this paper, achieving 98.33% of malicious traffic classification and detection accuracy, a reduction in latency down to 37%, and higher throughput up to 42% compared to other state-of-the-art BDLT methods. In addition, the proposed BIoT-Chain ensures data transability, integrity, provenance, and resilience against distributed denial of service (DDoS) and replay attacks.

Journal of Cloud Computing Advances Systems and ApplicationsVol. 15(1)
Prince Sattam Bin Abdulaziz University (SA), Nangarhar University (AF), Technical University of Malaysia Malacca (MY), Najran University (SA), Sultan Zainal Abidin University (MY), Bahria University (PK)
Prince Sattam bin Abdulaziz University, Universiti Teknikal Malaysia Melaka
Openalex Percentile: Top 18%
UAV Applications and Optimization
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