Dealing with Black-hole Attacks in Inter-vehicle Networks Using the Packet Delivery Rate Algorithm

The VANET is a type of case mobile networks (a decentralized type of wireless networks) which includes moving vehicles as nodes in the network that establishes communication among adjacent vehicles as well as stationary vehicles and equipment which are usually installed along the roads. Therefore, reducing network overhead and traffic and increasing the data transmission security as well as the Packet Delivery Rate (PDR) are the most important issues related to VANETs. One of the most important challenges in the inter-vehicle networks is the presence of security attacks such as black-hole attacks in which the malicious node eliminates data packets and reduces the quality of the network. Therefore, this paper proposes a method to detect and eliminate the black-hole attacks in three phases. The so called DABHA-VANET in the first phase confirms the new join requests and verifies valid vehicles by checking the previous database and number of the steps. In the second phase, it applies the PDR algorithm to detect malicious nodes of the black-hole and then eliminates these nodes from the network and routing. Finally, the NS-2 simulator is used to compare DABHA-VANET with the PFDSA method. The provided results indicated an acceptable performance of the proposed approach.