Abstract:- In current generation, the proliferation of autonomy of next generation facilitates the use of independent cars,connected cars and electromobility. It brings new target surfaces that influence the community for high impact cyberthreats. To address the cyber-security challenges faced by modern automobiles, a constructive and diversified approachis needed that combines techniques from different fields of ICT. In the next generation mobility ecosystem, emerginginnovations such as 5G, LiDAR, new road and roadside sensors and intelligent charging in current automobiles a newproblems and potentially protection vulnerabilities. This research proposes a systematic cybersecurity risk managementprocess for vehicles.This includes an appraisal framework and formal measurement approaches to resolve vulnerabilityimprovements, the evaluation, goal and the evidence available during the vehicle life cycle. The level of impact and thelevel of viability of attack are evaluated in risk assessment and risk analysis. The automotive cyber security risk matrix isthen designed to provide a quantitative risk index using a global classification algorithm. The proposed evaluationprocess aims to derive automotive cyber systematically Improvement AODV in this research by integrated anovel lightweight methodology using detectors and baiting to diagnose and isolate single as well as cooperative black-holeattacks. The MANET node will identify and separate the black-hole nodes in the network during the complex topologicalchange in the suggested technique. Employing NS-2.35 simulations methods for the execution of the proposedmethodology. The results of the technique suggested are very similar to the native AODV without black holes in terms ofefficiency, End to End Delaying and PDR Analysis studied.Keywords: Cyber-Security, VANET, MANET, Routing Protocols, Black-Hole attack, Cyber threats, E-Vehicles