Improving Vehicular Network Authentication with Teegraph: A Hashgraph-Based Efficiency Approach. [PDF]
Sensors (Basel)Cádiz RJ, Nicolas-Sans R, Tamámes JF.
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ОБЕСПЕЧЕНИЕ ДОСТУПНОСТИ АБОНЕНТОВ VANET
Научно-исследовательские публикации, 2013 The article researches network systems known as VANET vehicular ad hoc networks. This problem is not been researched in Russian science. Authors research VANET in the Russian periodic for the first time. Authors propose users’ level selforganization. The following results are been achieved: terminology and characteristics of 1-st and 2-nd level ad hoc ...
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Intrusion detection using search-based learning optimized ensemble tree classifier model. [PDF]
PLoS OneAlhassan AM, Altmami NI.
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An efficient signature aggregation scheme with antenna hardware implementation for VANETs. [PDF]
Sci RepPriyadharshini A +4 more
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Intelligent Agent for Resource Allocation from Mobile Infrastructure to Vehicles in Dynamic Environments Scalable on Demand. [PDF]
Sensors (Basel)Cumbal R +4 more
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Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks. [PDF]
Sci RepChristy C +3 more
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Blockchain enabled privacy provisioning scheme for location based services in VANETs. [PDF]
PLoS OneIlyas I +6 more
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Detection of false position attacks in VANETs through bagging ensemble learning. [PDF]
PLoS OneMekonen BK, Bane L, Fite NB.
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Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization. [PDF]
Sci RepGopi R +3 more
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An in depth investigation on device-to-device communication in heterogeneous networks: opportunities and challenges. [PDF]
MethodsXAli A, Zehra A, Nafees M, Amin MA.
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