FA-AODV: Flooding Attacks Detection Based Ad Hoc On-Demand Distance Vector Routing Protocol for VANET

Abstract

Vehicular Ad-Hoc Networks (VANET) is anticipated to be the most effective way of increasing performance and safety in transportation in the near future. VANETs are the sub-branch of Ad-Hoc Networks which provide safety and comfort features together with related services for the vehicle operators. RREQ flood attack mostly encountered in the literature for security of VANET. Due to the nature of the reactive protocols, the AODV routing protocol is quite open to attack types such as flood attack. Flood attacks occur in the network layer. The impact of flood attacks is not about victim nodes, it can be also affect the whole network. A malicious attack that could be carried out in VANET could cause accidents that would cause a serious disaster. A malicious node could penetrate into the IP addresses on a Flood Attack based User Datagram Protocol (UDP) to breakdown the data communication between two vehicles. The main purpose of this paper is to detect and prevent the flood attack, during the operation of the routing protocol and to decrease the end-to-end delay on the network.

Secure and Reliable Routing in the Internet of Vehicles Network: AODV-RL with BHA Attack Defense

“…This leads to the creation of fabricated and harmful routes. Once a route is established, the node must decide whether to transmit the packet to an unfamiliar destination or discard it [53,54]. Despite lacking a legitimate route to the destination, the black hole node successfully deceives the source node by falsely claiming to possess a valid, efficient, and recently updated route to the intended destination node [55].…”

Machine learning based novel frameworks developments and architectures for secured communication in VANETs for smart transportation

“…This model uses a classification approach and is generic in nature. Numerous researchers have proposed a variety of algorithms, including trust-based algorithms [7] and cryptographic solutions [8]. If the attacker is an insider, trust-based solutions are useful.…”