Abstract This study introduces an integrated system for detecting and managing driver inattention using a combination of artificial intelligence (AI), blockchain technology, and edge computing. The proposed system utilizes You Look Only Once version 8 Nano (YOLOv8n) for real-time object detection and a Raspberry Pi 5 for edge-based analysis, ensuring efficient and accurate detection of inattentive behaviors such as drowsiness, distraction, and other unsafe driving patterns. Blockchain integration with Hyperledger Besu, using the Istanbul Byzantine Fault Tolerance version 2.0 (IBFT 2.0) consensus protocol, provides a secure and tamper-resistant ledger for recording and verifying driver inattention events. The system demonstrated robust performance metrics, including a mean precision of 92.99%, mean recall of 93.47%, and mean Average Precision at Intersection over Union threshold 0.5 ([email protected]) of 92.5% for YOLOv8n, establishing its superiority among evaluated YOLO models. The blockchain network achieved a throughput of up to 128.5 transactions per second (TPS) and an average latency ranging from 0.84 seconds for transfer operations to 4.43 seconds for open operations, demonstrating its capability to support real-time event logging. This research addresses limitations in traditional centralized systems by offering a scalable, permissioned, and transparent framework for enhancing driver safety through real-time monitoring and secure data management.

Abstract Land administration in Nigeria continues to face critical challenges, including document inconsistencies, opaque verification procedures, slow processing times, and persistent administrative malpractice associated with centralized and conventional, non-automated record-management systems. These systemic weaknesses create opportunities for double allocation, unauthorized alterations, and hidden registry manipulation, highlighting the need for more secure and transparent digital approaches. This paper proposes BERBLOM, a blockchain-enabled land ownership management system tailored to Nigerian land-registry workflows. The system tokenizes land parcels as ERC-4907 assets and stores supporting documents in the InterPlanetary File System (IPFS) to enhance data integrity and reduce single points of failure. BERBLOM supports practical use cases such as government plot allocation, peer-to-peer property transfers, and an on-chain leasing mechanism that automatically reverts ownership upon lease expiration. The framework operates on a permissioned Hyperledger Besu network using the Quorum Byzantine Fault Tolerance (QBFT) consensus protocol, selected for its Byzantine fault tolerance, predictable gas-free operation, and scalability under controlled conditions. Experimental evaluation indicates that QBFT maintains stable throughput and manageable latency as the number of validator nodes increases from 4 to 32. A Flutter-based decentralized application (DApp) enables real-time interaction through event-driven synchronization. While human-driven corruption and malpractice cannot be fully eliminated, the proposed prototype demonstrates how blockchain-based registries can reduce opportunities for hidden technical manipulation and improve on-chain accountability. It is important to note that the primary performance benefits of BERBLOM are realized after tokenization. Initial land registration remains dependent on legally mandated, human-driven governmental approvals; however, post-registration operations such as peer-to-peer transfers and on-chain leasing can be executed without intermediaries and complete within seconds. Consequently, the performance analysis focuses on the lifecycle stages where blockchain automation provides the greatest impact.

PureRx is an innovative blockchain-based prescription management system designed to overcome the limitations of traditional paper prescriptions, including medication errors, fraud, and inefficiencies in tracking patient records. By leveraging Non-Fungible Tokens (NFTs) and batch minting, PureRx enables efficient, secure, and patient-centric control of prescription data. Patients maintain ownership of their medical records, while healthcare providers and pharmacies benefit from transparent and immutable prescription workflows. Experimental evaluation shows that PureRx improves operational efficiency by 37.18% in initial cycles, increasing to 51% in subsequent cycles compared to existing systems, while reducing costs by 46.76% in high-volume scenarios. Security analysis confirmed that no critical vulnerabilities were found and that all prescription issuance and claiming events are tamper-resistant and auditable on-chain. By combining scalability, transparency, and patient empowerment, PureRx demonstrates the potential of blockchain to transform prescription management in modern healthcare systems.

Preventive measures to stop copyright infringement are yet to be implemented on current decentralized music-sharing platforms. There is no mechanism to reject modified audio before they go online, so some decentralized music platforms become places full of pirated audio files. To address this problem, a perceptual hash-based audio detection method for copyright protection in decentralized music sharing was proposed. Chromaprint, an open-source audio fingerprint program, generates a hash value to detect copyright infringement. To assess the perceptual hash technique’s robustness, Chromaprint generates a hash value from an audio file that can be modified with several signal processing attacks. The results of the detection system show that Chromaprint is very effective at spotting copyright infringement, with an average match rate of 92.64%. Deployed using a public Ethereum blockchain test network, the execution time from hashing to uploading to the IPFS distributed storage is only 616.3 ms.

This work proposes the use of blockchain for offline voting. Using the Smart contract feature of the Ethereum blockchain network. The voter’s registration is made. An offline token is generated which is used for offline voting. The offline token and the voting information are sent to the vote counters Smart contact. This is where the votes are counted and results extracted. However if a voter can share the cast vote to another voter who will send the new token to the vote counters. In a situation a vote is submitted by multiple voters, the counter has the ability to identify and count such votes only once.

Abstract This work proposes smart auto mining (SAM) for resource‐efficient mining in a blockchain network. The SAM algorithm stops the miners when there is zero pending transaction and starts the miner when there is at least one transaction sent into the network. The miner listens to the network to identify when a transaction has been made by a node. The model does not need any instruction to start mining when there is a pending transaction. The results show that a private Ethereum network produced over 300% more blocks in a 12‐h period with 599,950 transactions compared to when SAM is applied. The proposed algorithm is also able to reduce the storage used by the chaindata by 14%. The overhead of mining is decreased by reducing the production of empty blocks in the network which saves energy, storage space, network bandwidth and computational complexity.