Vehicular Ad‐hoc network is described as communication of data or information between vehicles. This network can also support vehicle to infrastructure, pedestrian or other vehicle communication. Various applications of VANET are Safety Oriented Applications, Collision Evasion, Cooperative Driving, Traffic Improvement and Infotainment Applications. Advancement in technology created the new era known as Internet of Vehicles (IoV) which connects all of network vehicles to the internet, and it is gaining popularity because it offers significant benefits over previous works. IoT is based on the concept of connecting vehicles to communicate via the internet. These vehicles have internet‐connected sensors that are individually identifiable and communicate with one another to execute complicated activities. The active type of assaults that lowers network performance is distributed denial of service; such assaults have resulted in significant losses by disrupting vehicular network functionality. Distributed Denial of Service (DDoS) assaults is one of the most dangerous threats to network functionality among all network assaults. Security challenges such as DDoS assaults have attracted the attention of stakeholders in the VANET environment to provide substantial solutions. With the increasing interconnectivity of vehicles and the lack of an entity preventing communications in IoV, security challenges such as DDoS assaults have become a critical challenge. Although similar issues exist in other contexts, their impact in the IoV environment might be more damaging, which is concerning since it allows intruders to enter the ecosystem in VANET. These assaults have a number of repercussions that might result in information loss in the vehicular network and other ad hoc wireless sensor networks. In this work, a key agreement approach is developed that identifies and isolates malignant vehicles from the network with the help of proposed trust management self‐system called extension of trusted multipath distance vector routing (TMDR‐Ext) which works on trusted authority based on brink controller (BC) and trusted threshold level, therefore improving the session recovery technique and reducing execution time. In terms of specific parameters, the suggested approach has been executed and compared to current techniques on the basis of QoS metrics, i.e., throughput, routing overhead, and packet delivery ratio are the three parameters. The suggested technique generates traffic with the help of Simulation of Urban Mobility tool (SUMO), and analysis and simulation of the proposed work is done by Network Simulator 2 (NS‐2) which delivered good quality of service that indicates the new method outperforms current assessed results.
Trusted Multipath Routing for Internet of Vehicles against DDoS Assault Using Brink Controller in Road Awareness (TMRBC‐IOV)
Autonomous Vehicles Volume 1 ; 39-60
19.12.2022
22 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
VANET , IoV , DDoS attack , trust management system , SUMO , BC , TMDR‐Ext , QoS and NS‐2
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