Results 171 to 180 of about 8,128 (232)

A secure and efficient blockchain enabled federated Q-learning model for vehicular Ad-hoc networks. [PDF]

Sci Rep
Ahmed HA, Jasim HM, Gatea AN, Al-Asadi AAA, Al-Asadi HAA.   +4 more
europepmc   +1 more source

Sybil Attack-Resistant Blockchain-Based Proof-of-Location Mechanism with Privacy Protection in VANET. [PDF]

Sensors (Basel)
Khatri N, Lee S, Nam SY.
europepmc   +1 more source

Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system. [PDF]

PeerJ Comput Sci
Aalavanthar A, S F, Sundaramurthy S, Cirillo S, Solimando G, Polese G.   +5 more
europepmc   +1 more source

Improving Vehicular Network Authentication with Teegraph: A Hashgraph-Based Efficiency Approach. [PDF]

Sensors (Basel)
Cádiz RJ, Nicolas-Sans R, Tamámes JF.
europepmc   +1 more source

Multi-Layered Unsupervised Learning Driven by Signal-to-Noise Ratio-Based Relaying for Vehicular Ad Hoc Network-Supported Intelligent Transport System in eHealth Monitoring. [PDF]

Sensors (Basel)
Nauman A, Iqbal A, Khurshaid T, Kim SW.
europepmc   +1 more source

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The security of VANETs

Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks, 2005
In this work, we address the security of VANETs. We provide a detailed threat analysis and devise an appropriate security architecture. We also describe some major design decisions still to be made, which in some cases have more than mere technical implications.
Maxim Raya, Jean-Pierre Hubaux
openaire   +1 more source