20.500.12556/DiRROS-22759 Enhancing the reliability and accuracy of wireless sensor networks using a deep learning and blockchain approach with DV‑HOP algorithm for DDoS mitigation and node localization Wireless sensor networks (WSNs) are subject to distributed denial-of-service (DDoS) attacks that impact data dependability, mobility of nodes, and energy drain. The remedy to these challenges in this work is a solution based on deep learning integrated with a blockchain-aided distance-vector hop (DV-HOP) localization algorithm for reliable and secure node localization. Incorporating a blockchain ledger makes the network more trustworthy as it verifies usual and unusual system activities, whereas the DV-HOP algorithm mitigates localization inaccuracies and enhances node placement. The system is evaluated according to different performance measures like localization error, accuracy ratio, average localization error (ALE), probability of location, false positive rate (FPR), false negative rate (FNR), energy utilization, network stability, node failure rate, node recovery rate, and malicious node detection rate. Experimental results reveal improved security, accuracy, and efficiency with 17% FPR and 15% FNR, outperforming the conventional methods. This model enhances WSN performance in different environments via precise data transmission from the source to the destination. The results confirm that integrating deep learning with blockchain and DV-HOP increases network robustness, thus making WSNs more secure against security attacks while reducing energy consumption and localization accuracy. The proposed model presents a strong solution for real-world applications in wireless network environments. wireless network devices DV-HOP algorithm blockchain ledger reliable network devices deep learning brezžične omrežne naprave DV‑HOP lokalizacijski algoritem blokchain tehnologija zanesljive omrežne naprave globoko učenje true false true Angleški jezik Slovenski jezik Neznano 2025-06-23 03:35:50 2025-09-09 13:22:47 2025-10-24 03:52:07 0000-00-00 00:00:00 2025 0 0 Nasl. z nasl. zaslona; Opis vira z dne 22. 6. 2025; Soavtorji: Deepak Prashar, Leo Mrsic, Ahmad Almogren, Ateeq Ur Rehman, Ayman Altameem and Seada Hussen; str. 1-39 Vol. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2025-06-19 004.85 1687-1499 10.1186/s13638-025-02465-w 240184323 RAZ_Kaur_Bhupinder_2025.pdf RAZ_Kaur_Bhupinder_2025.pdf 1 A99E4819F0471E81E35ADFB318028239 922d53cd3e164d86d93577d0d64c949e03716ef88b12ebe2d4f251f0ecfce052 0c2e7e39-8d6f-11f0-9bb7-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=34881 https://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-025-02465-w 0 360ec6a8-8d6f-11f0-9bb7-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=34882 Rudolfovo – Znanstveno in tehnološko središče Novo mesto 0 0 0