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Detecting blackhole and greyhole attacks in vehicular Delay Tolerant Networks.

, , and . COMSNETS, page 1-7. IEEE, (2013)

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Establishment of a deep learning network based on feature extraction and its application in gearbox fault diagnosis., , , , and . Artif. Intell. Rev., 52 (1): 125-149 (2019)MLDFR: A Multilevel Features Restoration Method Based on Damaged Images for Anomaly Detection and Localization., , , , and . IEEE Trans. Ind. Informatics, 20 (2): 2477-2486 (February 2024)Detecting and Mitigating Malicious Behavior in Vehicular DTNs (Erkennung und Vermeidung von Fehlverhalten in fahrzeugbasierten DTNs). Braunschweig University of Technology, Germany, (2014)base-search.net (ftunivbraunschw:oai:https://leopard.tu-braunschweig.de/:dbbs_mods_00058325).Detecting blackhole and greyhole attacks in vehicular Delay Tolerant Networks., , and . COMSNETS, page 1-7. IEEE, (2013)A Multilevel Remote Relational Modeling Network for Accurate Segmentation of Fundus Blood Vessels., , , , , and . IEEE Trans. Instrum. Meas., (2022)Using Cluster Analysis to Detect Attackers in Vehicular Delay Tolerant Networks., , and . ADHOCNETS, volume 129 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 181-196. Springer, (2013)A Misbehavior Detection System for Vehicular Delay Tolerant Networks., , , and . GI-Jahrestagung, volume P-208 of LNI, page 1871-1877. GI, (2012)Simultaneous transmission of RFID, WIFI and ZigBee over fiber., , , , and . WOCC, page 577-579. IEEE, (2013)MSKD: Structured knowledge distillation for efficient medical image segmentation., , , , , and . Comput. Biol. Medicine, (September 2023)