Context-aware data-centric misbehaviour detection scheme for vehicular ad hoc networks using sequential analysis of the temporal and spatial correlation of the …
Abstract Vehicular ad hoc Networks (VANETs) have emerged mainly to improve road safety,
traffic efficiency, and passenger comfort. The performance of most VANET applications and
services relies on the availability of accurate and up-to-date mobility-information, through so-
called Cooperative Awareness Messages (CAMs), shared by neighbouring vehicles.
However, sharing false mobility information can disrupt any potential VANET application. As
cryptographic techniques used to protect CAMs in VANETs are expensive, complicated, and …
traffic efficiency, and passenger comfort. The performance of most VANET applications and
services relies on the availability of accurate and up-to-date mobility-information, through so-
called Cooperative Awareness Messages (CAMs), shared by neighbouring vehicles.
However, sharing false mobility information can disrupt any potential VANET application. As
cryptographic techniques used to protect CAMs in VANETs are expensive, complicated, and …
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