An Improved Machine Learning Model with Hybrid Technique in VANET for Robust Communication

The vehicular ad hoc network, VANET, is one of the most popular and promising technologies in intelligent transportation today. However, VANET is susceptible to several vulnerabilities that result in an intrusion. This intrusion must be solved before VANET technology can be adopted. In this study, w...

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Vydáno v:	Mathematics (Basel) Ročník 10; číslo 21; s. 4030
Hlavní autoři:	Marwah, Gagan Preet Kour, Jain, Anuj, Malik, Praveen Kumar, Singh, Manwinder, Tanwar, Sudeep, Safirescu, Calin Ovidiu, Mihaltan, Traian Candin, Sharma, Ravi, Alkhayyat, Ahmed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.11.2022
Témata:	Ad hoc networks (Computer networks) Algorithms Ant colony optimization Assaults Automobiles Bandwidths Communication Control cuckoo search Delay time Denial of service attacks dragonfly Effectiveness Energy consumption Industry standards Intelligent vehicles Intrusion Machine learning Mobile ad hoc networks Network latency Nodes Optimization Public safety Quality of service architectures Resource management rider optimization algorithm Robust statistics Routing (telecommunications) Search algorithms Shortest-path problems Software Stagnation support vector machine Tolls Traffic congestion Transportation planning VANET Vehicles whale optimization algorithm India
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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