Machine learning (ML) will improve the outcomes through use of methods that categorize information into predetermined set. This work is to present an estimation and assessment machine techniques for achieving privacy preservation in vehicular ad hoc networks (VANETs). method generates two distinct group keys prime secondary users. Road side units (RSUs) are deployed broadcast one key from trust...

Vehicular ad-hoc network (VANET) has been gaining importance due to the fast growing technology as well its requirements in intelligent transportation systems (ITS) and vehicular social (VSN). VANET facilitates vehicle (V2V) infrastructure (V2I) communication improves ride quality with value added services. The number of connected vehicles is expected grow a huge enormous exchange safety non-sa...

Vehicular Ad hoc Networks (VANETs) are classified as an application of Mobile Ad-hoc Networks (MANETs) that has the potential in improving road safety and providing Intelligent Transportation System (ITS). Vehicular communication system facilitates communication devices for exchange of information among vehicles and vehicles and Road Side Units (RSUs).The era of vehicular adhoc networks is now ...

Vehicular Ad hoc Networks (VANETs) is usually grouped with other similar networks types such as Mobile Ad hoc Networks (MANETs) and Wireless Mesh Networks (WMN). All of these types of networks are characterized as self-configuring and infrastructure-less. However, the vehicular nodes in a VANET are highly mobile and the corresponding communication protocols are specified to work up to speeds of...