A Novel Model based on Group Controlled Observation for DDOS Attack Detection and Prevention in VANET

Objectives: To identify the Distributed Denial Of service (DDOS) attack in the network and generate a preventive path while performing the V2V communication. The objective of work is to reduce the communication delay and communication loss. Methods/Statistical Analysis: In this work a group controlled method is provided for vehicular network to observe the attack within the group. The parameter driven analysis is applied within the group and identified the attacker node. Once the attacker is identified, the preventive path is generated. The paper has presented the algorithmic model for preventive route formulation. Findings: In Vehicular Ad Hoc Network (VANET), the large node traffic exist which results heavy network communication. DDOS in this attack degrades overall network reliability. In this paper, a group controlled analysis model is proposed to identify the DDOS attacked node and to generate the preventive communication path. At the early stage, the Road Side Unit (RSU) region is processed under mobility parameters to generate the node groups. Each group is also defined with an established controller. Finally, the group communication is observed under communication parameters to identify the attacker node. The paper has explored the model and the associated work stages in detail. Application/Improvements: The work is defined specifically for vehicular network and to identify the DDOS attack. The group specific restricted region analysis is provided to recognize the attacker node and to generate the preventive path.