Improving the detection of intrusion in vehicular ad-hoc networks with modified identity-based cryptosystem

Vehicular ad-hoc networks (VANETs) are wireless-equipped vehicles that form along the road. The security of this network has been a major challenge. identity-based cryptosystem (IBC) previously used to secure suffers from membership authentication features. This paper focuses on improving detection intruders in VANETs with modified (MIBC). MIBC is developed using non-singular elliptic curve Lagrange interpolation. public key and roadside units derived number plates location identification numbers, respectively. Pseudo-identities mask real identity users preserve their privacy. mechanism ensures only valid authenticated members allowed join network. performance evaluated intrusion ratio (IDR) computation time (CT) then validated existing IBC. result obtained shows recorded an IDR 99.3% against 94.3% for (EIBC) 140 unregistered attempting intrude lower CT values 1.17 ms 1.70 EIBC. can be improve VANETs.