@article {103800,
	title = {A Mobility-Aware Zone-Based Key Management Scheme with Dynamic Key Refinement for Large-Scale Mobile Wireless Sensor Networks},
	journal = {Future Internet },
	volume = {18},
	number = {3},
	year = {2026},
	pages = {175},
	abstract = {
	Mobile Wireless Sensor Networks (MWSNs) enhance traditional wireless sensor networks by allowing sensor nodes to move, resulting in continuously changing network topologies. Although this mobility enables advanced applications such as disaster response, intelligent transportation systems, and mission-critical monitoring, it poses major challenges for secure and scalable key management in large-scale deployments. Most existing key management and key pre-distribution schemes are tailored to static or lightly mobile networks and therefore suffer from limited scalability, excessive memory consumption, inefficient key utilization, and increased vulnerability to node capture when applied to highly mobile environments. This paper proposes a mobility-aware, zone-based key management scheme that integrates an enhanced composite key distribution mechanism with dynamic key refinement. The network is partitioned into logical zones, each maintaining an independent key pool to confine security breaches and improve scalability. To adapt to mobility-induced topology changes, sensor nodes continuously refine their key rings by preserving only the cryptographic keys associated with persistent neighbor relationships. This selective retention strategy significantly reduces storage overhead while strengthening resilience against key compromise and unauthorized access. Comprehensive analytical modeling and performance evaluations demonstrate that the proposed scheme achieves higher secure connectivity, stronger resistance to node capture attacks, and improved scalability compared to existing approaches, particularly in dense and highly mobile MWSN scenarios.

},
	url = {https://doi.org/10.3390/fi18030175},
	author = {Chenna, Abdelbassette and Boubiche, Djallel-Eddine and Benyahia, Abderrezak and Homero, Toral-Cruz and Mart{\'\i}nez-Pel{\'a}ez, Rafael and Velarde-Alvarado, Pablo}
}
@article {103677,
	title = {New Multiparty Quantum Key Agreement with enhanced efficiency},
	journal = {Computers and Electrical Engineering},
	volume = {130},
	year = {2026},
	abstract = {
	Quantum Key Agreement (QKA) is a cornerstone of quantum cryptography, facilitating secure key distribution among multiple participants. Existing QKA protocols often suffer from scalability issues and increased computational complexity as the number of participants grows. This paper proposes an efficient Circle Multiparty Quantum Key Agreement (CMQKA) protocol based on the BB84 protocol. This protocol enhances quantum resource efficiency and ensures equal participation in a circular topology. The key feature lies in the optimized use of quantum resources, minimizing the qubit overhead while ensuring high security standards. By achieving a qubit efficiency of 1/2n, it significantly improves the multiparty quantum communications. A thorough security analysis is conducted to demonstrate the protocol{\textquoteright}s resilience against common quantum threats.

},
	url = {https://doi.org/10.1016/j.compeleceng.2025.110897},
	author = {Achouri, Youssouf and Djellab, Rima and Hamouid, Khaled}
}
@article {103536,
	title = {Integrated production and maintenance planning in imperfect hybrid manufacturing\&ndash;remanufacturing systems with outsourcing and carbon emissions},
	journal = {International Journal of Production Economics},
	volume = {291},
	year = {2026},
	abstract = {
	This study investigates the integrated planning of production, maintenance, and quality control in a hybrid manufacturing-remanufacturing system, accounting for deterioration, variability in the quality of returned products, carbon emissions, and outsourcing opportunities. The network consists of a manufacturer collaborating with an outsourcing remanufacturing provider. The manufacturer operates a single failure-prone machine to produce new products and to remanufacture returned ones. Recovered products that the manufacturer cannot process are sent to the outsourcing provider for remanufacturing. The system generates harmful emissions, potentially leading to environmental taxes and sanctions. We formulate a mixed-integer nonlinear programming model to determine the optimal integrated manufacturing, remanufacturing, outsourcing, and preventive maintenance plan. Eventually, the proposed strategy minimizes total economic costs and defects and ultimately reduces carbon emissions. We use a global solver for solving small instances, while a genetic algorithm metaheuristic is developed for larger ones. Extensive computational experiments reveal that the developed genetic algorithm is highly efficient, achieving gaps of less than 0.95\% within shorter execution times for small instances and significantly outperforming the solver in larger ones. The results show that the integrated outsourcing strategy, combined with accounting for carbon emissions from both new and remanufactured products, significantly reduces the reliance on new products, leading to notable cost savings and environmental benefits. These savings become more pronounced as the number of returns increases.

},
	url = {https://doi.org/10.1016/j.ijpe.2025.109862},
	author = {Merghem, Mohammed and Haoues, Mohammed and SENOUSSI, Ahmed and Dahane, Mohammed and Mouss, Nadia-Kinza}
}
